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:hammer: 目录 |Table of Contents（点击直接跳转）

目录（右侧点击可折叠）

Backbone
数据集/Dataset
NAS
Knowledge Distillation
多模态 / Multimodal
对比学习/Contrastive Learning
图神经网络 / Graph Neural Networks
胶囊网络 / Capsule Network
图像分类 / Image Classification
目标检测/Object Detection
目标跟踪/Object Tracking
轨迹预测/Trajectory Prediction
语义分割/Segmentation
弱监督语义分割/Weakly Supervised Semantic Segmentation
医学图像分割
视频目标分割/Video Object Segmentation
交互式视频目标分割/Interactive Video Object Segmentation
Visual Transformer
深度估计/Depth Estimation
人脸识别/Face Recognition
人脸检测/Face Detection
人脸活体检测/Face Anti-Spoofing
人脸年龄估计/Age Estimation
人脸表情识别/Facial Expression Recognition
人脸属性识别/Facial Attribute Recognition
人脸编辑/Facial Editing
换脸/Face Swap
人体姿态估计/Human Pose Estimation
6D位姿估计 /6D Pose Estimation
手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery)
视频动作检测/Video Action Detection
手语翻译/Sign Language Translation
3D人体重建
行人重识别/Person Re-identification
行人搜索/Person Search
人群计数 / Crowd Counting
GAN
彩妆迁移 / Color-Pattern Makeup Transfer
字体生成 / Font Generation
场景文本检测、识别/Scene Text Detection/Recognition
图像、视频检索 / Image Retrieval/Video retrieval
Image Animation
抠图/Image Matting
超分辨率/Super Resolution
图像复原/Image Restoration
图像补全/Image Inpainting
图像去噪/Image Denoising
图像编辑/Image Editing
图像拼接/Image stitching
图像匹配/Image Matching
图像融合/Image Blending
图像去雾/Image Dehazing
图像压缩/Image Compression
反光去除/Reflection Removal
车道线检测/Lane Detection
自动驾驶 / Autonomous Driving
流体重建/Fluid Reconstruction
场景重建 / Scene Reconstruction
视频插帧/Frame Interpolation
视频超分 / Video Super-Resolution
3D点云/3D point cloud
标签噪声 / Label-Noise
对抗样本/Adversarial Examples
其他/Other

Backbone

返回目录/back

数据集/Dataset

3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos

论文/Paper: http://arxiv.org/abs/2203.14456
代码/Code: None

Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities

论文/Paper: http://arxiv.org/abs/2203.14712
代码/Code: None

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation

论文/Paper: http://arxiv.org/abs/2203.12560
代码/Code: https://mediatum.ub.tum.de/1650201

Dataset Distillation by Matching Training Trajectories

论文/Paper: http://arxiv.org/abs/2203.11932
代码/Code: https://github.com/GeorgeCazenavette/mtt-distillation

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

论文/Paper：https://arxiv.org/abs/2203.09463
代码/Code：

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains

论文/Paper：https://arxiv.org/abs/2203.05306
代码/Code：https://github.com/hellodfan/GrainSpace

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

论文/Paper: http://arxiv.org/pdf/2204.01026

代码/Code: https://github.com/4dvlab/stcrowd

ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer

论文/Paper: http://arxiv.org/pdf/2204.02389
代码/Code: None

BEHAVE: Dataset and Method for Tracking Human Object Interactions

论文/Paper: http://arxiv.org/pdf/2204.06950
代码/Code: None

SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos

论文/Paper: http://arxiv.org/pdf/2204.06918
代码/Code: None

Hephaestus: A large scale multitask dataset towards InSAR understanding

论文/Paper: http://arxiv.org/pdf/2204.09435
代码/Code: None

A New Dataset and Transformer for Stereoscopic Video Super-Resolution

论文/Paper: http://arxiv.org/pdf/2204.10039
代码/Code: https://github.com/H-deep/Trans-SVSR/

返回目录/back

NAS

Optimizing Elimination Templates by Greedy Parameter Search

论文/Paper: http://arxiv.org/abs/2203.14901
代码/Code: None

Searching for Network Width with Bilaterally Coupled Network

论文/Paper: http://arxiv.org/pdf/2203.13714
代码/Code: None

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search

论文/Paper: http://arxiv.org/pdf/2204.05941
代码/Code: None

返回目录/back

Knowledge Distillation

Decoupled Knowledge Distillation

论文/Paper：https://arxiv.org/abs/2203.08679
代码/Code：https://github.com/megvii-research/mdistiller

Knowledge Distillation with the Reused Teacher Classifier

论文/Paper: http://arxiv.org/abs/2203.14001
代码/Code: None

返回目录/back

多模态 / Multimodal

Balanced Multimodal Learning via On-the-fly Gradient Modulation

论文/Paper: http://arxiv.org/pdf/2203.15332
代码/Code: None

Conditional Prompt Learning for Vision-Language Models

论文/Paper：https://arxiv.org/abs/2203.05557
代码/Code：https://github.com/KaiyangZhou/CoOp

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

论文/Paper: http://arxiv.org/abs/2203.13161
代码/Code: None

Motron: Multimodal Probabilistic Human Motion Forecasting

论文/Paper：https://arxiv.org/abs/2203.04132
代码/Code：

StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis

论文/Paper: http://arxiv.org/pdf/2203.15799
代码/Code: https://github.com/zhihengli-UR/StyleT2I

Text2Pos: Text-to-Point-Cloud Cross-Modal Localization

论文/Paper: http://arxiv.org/pdf/2203.15125
代码/Code: None

Towards Implicit Text-Guided 3D Shape Generation

论文/Paper: http://arxiv.org/abs/2203.14622
代码/Code: None

UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection

论文/Paper: http://arxiv.org/abs/2203.12745
代码/Code: None

Versatile Multi-Modal Pre-Training for Human-Centric Perception

论文/Paper: http://arxiv.org/pdf/2203.13815
代码/Code: None

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval

论文/Paper: http://arxiv.org/pdf/2203.15086
代码/Code: https://github.com/layer6ai-labs/xpool

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

论文/Paper: http://arxiv.org/pdf/2203.16778
代码/Code: None

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

论文/Paper: http://arxiv.org/pdf/2204.01026
代码/Code: https://github.com/4dvlab/stcrowd

XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation

论文/Paper: http://arxiv.org/pdf/2204.05084
代码/Code: None

Robust Cross-Modal Representation Learning with Progressive Self-Distillation

论文/Paper: http://arxiv.org/pdf/2204.04588
代码/Code: None

Multimodal Transformer for Nursing Activity Recognition

论文/Paper: http://arxiv.org/pdf/2204.04564
代码/Code: https://github.com/Momilijaz96/MMT_for_NCRC

Probabilistic Compositional Embeddings for Multimodal Image Retrieval

论文/Paper: http://arxiv.org/pdf/2204.05845
代码/Code: https://github.com/andreineculai/MPC.

Are Multimodal Transformers Robust to Missing Modality?

论文/Paper: http://arxiv.org/pdf/2204.05454
代码/Code: None

Multimodal Token Fusion for Vision Transformers

论文/Paper: http://arxiv.org/pdf/2204.08721
代码/Code: None

Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval

论文/Paper: http://arxiv.org/pdf/2204.09730
代码/Code: https://github.com/mshukor/TFood

CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification

论文/Paper: http://arxiv.org/pdf/2204.14244
代码/Code: https://github.com/KeremTurgutlu/clip_art

Vision-Language Pre-Training for Boosting Scene Text Detectors

论文/Paper: http://arxiv.org/pdf/2204.13867
代码/Code: None

Cross-modal Representation Learning for Zero-shot Action Recognition

论文/Paper: http://arxiv.org/pdf/2205.01657
代码/Code: None

Episodic Memory Question Answering

论文/Paper: http://arxiv.org/pdf/2205.01652
代码/Code: None

返回目录/back

Contrastive Learning

Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2203.13505
代码/Code: None

ContrastMask: Contrastive Learning to Segment Every Thing

论文/Paper: http://arxiv.org/pdf/2203.09775
代码/Code: None

Fair Contrastive Learning for Facial Attribute Classification

论文/Paper: http://arxiv.org/pdf/2203.16209
代码/Code: https://github.com/sungho-coolg/fscl

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning

论文/Paper: http://arxiv.org/abs/2203.14957
代码/Code: None

Rethinking Minimal Sufficient Representation in Contrastive Learning

论文/Paper：https://arxiv.org/abs/2203.07004
代码/Code：https://github.com/Haoqing-Wang/InfoCL

Selective-Supervised Contrastive Learning with Noisy Labels

论文/Paper：https://arxiv.org/abs/2203.04181
代码/Code：https://github.com/ShikunLi/Sel-CL

Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity

论文/Paper: http://arxiv.org/abs/2203.11509
代码/Code: None

Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization

论文/Paper: http://arxiv.org/pdf/2203.16800
代码/Code: https://github.com/MengyuanChen21/CVPR2022-FTCL

Unified Contrastive Learning in Image-Text-Label Space

论文/Paper: http://arxiv.org/pdf/2204.03610
代码/Code: https://github.com/microsoft/unicl

Probabilistic Representations for Video Contrastive Learning

论文/Paper: http://arxiv.org/abs/2204.03946
代码/Code: None

Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework

论文/Paper: http://arxiv.org/pdf/2204.13207
代码/Code: https://github.com/salesforce/hierarchicalContrastiveLearning.

UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog

论文/Paper: http://arxiv.org/pdf/2205.00423
代码/Code: None

返回目录/back

图神经网络 / Graph Neural Networks

Lifelong Graph Learning

论文/paper：https://arxiv.org/abs/2009.00647
代码/code：https://github.com/wang-chen/LGL

Long-term Visual Map Sparsification with Heterogeneous GNN

论文/Paper: http://arxiv.org/pdf/2203.15182
代码/Code: None

SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters

论文/paper：https://arxiv.org/abs/2203.04746
代码/code：https://imatge-upc.github.io/skinningnet/

返回目录/back

胶囊网络 / Capsule Network

HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network

论文/Paper: http://arxiv.org/abs/2203.10699
代码/Code: None

返回目录/back

图像分类 / Image Classification

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification

论文/Paper: http://arxiv.org/pdf/2203.13465
代码/Code: None

Integrative Few-Shot Learning for Classification and Segmentation

论文/Paper: http://arxiv.org/pdf/2203.15712
代码/Code: None

Matching Feature Sets for Few-Shot Image Classification

论文/Paper: http://arxiv.org/pdf/2204.00949
代码/Code: None

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

论文/Paper: http://arxiv.org/pdf/2204.04567
代码/Code: None

Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications

论文/Paper: http://arxiv.org/pdf/2204.05605
代码/Code: None

Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity

论文/Paper: http://arxiv.org/pdf/2204.08954
代码/Code: None

Self-supervised Learning for Sonar Image Classification

论文/Paper: http://arxiv.org/pdf/2204.09323
代码/Code: https://github.com/agrija9/ssl-sonar-images

Generating Representative Samples for Few-Shot Classification

论文/Paper: http://arxiv.org/pdf/2205.02918
代码/Code: https://github.com/cvlab-stonybrook/fsl-rsvae.

返回目录/back

目标检测/Object Detection

A Dual Weighting Label Assignment Scheme for Object Detection

论文/Paper: http://arxiv.org/pdf/2203.09730
代码/Code: https://github.com/strongwolf/dw

Implicit Motion Handling for Video Camouflaged Object Detection

论文/Paper：https://arxiv.org/abs/2203.07363
代码/Code：

Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection

论文/Paper：https://arxiv.org/abs/2203.05787
代码/Code：

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

论文/Paper：https://arxiv.org/abs/2203.08195
代码/Code：https://github.com/tensorflow/lingvo/tree/master/lingvo/

Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer

论文/paper：https://arxiv.org/abs/2112.01838 | 主页
代码/code：https://github.com/fredzzhang/upt

Expanding Low-Density Latent Regions for Open-Set Object Detection

论文/Paper: http://arxiv.org/abs/2203.14911
代码/Code: None

Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition

论文/Paper: http://arxiv.org/abs/2203.12247
代码/Code: None

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes

论文/paper：https://arxiv.org/abs/2011.12001
代码/code：https://github.com/qq456cvb/CanonicalVoting

Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

论文/Paper：https://arxiv.org/abs/2203.05238
代码/Code：https://github.com/xuxw98/BackToReality

LiDAR Snowfall Simulation for Robust 3D Object Detection

论文/Paper: http://arxiv.org/pdf/2203.15118
代码/Code: None

Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model

论文/Paper: http://arxiv.org/abs/2203.14940
代码/Code: None

Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability

论文/Paper：https://arxiv.org/abs/2203.05180
代码/Code：https://github.com/CVMI-Lab/KDEP

Optimal Correction Cost for Object Detection Evaluation

论文/Paper: http://arxiv.org/abs/2203.14438
代码/Code: None

Point2Seq: Detecting 3D Objects as Sequences

论文/Paper: http://arxiv.org/pdf/2203.13394
代码/Code: None

Point Density-Aware Voxels for LiDAR 3D Object Detection

论文/Paper：https://arxiv.org/abs/2203.05662
代码/Code：https://github.com/TRAILab/PDV

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection

论文/Paper：https://arxiv.org/abs/2203.08563
代码/Code：

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

论文/Paper: http://arxiv.org/abs/2203.10981
代码/Code: None

MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection

论文/Paper: http://arxiv.org/pdf/2203.13310

Real-time Object Detection for Streaming Perception

论文/Paper: http://arxiv.org/abs/2203.12338
代码/Code: https://github.com/yancie-yjr/StreamYOLO

SIOD: Single Instance Annotated Per Category Per Image for Object Detection

论文/Paper: http://arxiv.org/pdf/2203.15353
代码/Code: None

SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection

论文/Paper：https://arxiv.org/abs/2203.06398
代码/Code：https://github.com/CityU-AIM-Group/SIGMA

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

论文/Paper: http://arxiv.org/pdf/2203.09780
代码/Code: None

Task-specific Inconsistency Alignment for Domain Adaptive Object Detection

论文/Paper: http://arxiv.org/pdf/2203.15345
代码/Code: None

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

论文/Paper: http://arxiv.org/abs/2203.11496
代码/Code: https://github.com/XuyangBai/TransFusion

VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention

论文/Paper: http://arxiv.org/pdf/2203.09704
代码/Code: https://github.com/gorilla-lab-scut/vista

Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds

论文/Paper: http://arxiv.org/abs/2203.10314
代码/Code: None

Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task

论文/Paper: http://arxiv.org/pdf/2203.13608
代码/Code: None

Understanding 3D Object Articulation in Internet Videos

论文/Paper: http://arxiv.org/pdf/2203.16531
代码/Code: None

AdaMixer: A Fast-Converging Query-Based Object Detector

论文/Paper: http://arxiv.org/pdf/2203.16507
代码/Code: https://github.com/mcg-nju/adamixer

Forecasting from LiDAR via Future Object Detection

论文/Paper: http://arxiv.org/pdf/2203.16297
代码/Code: None

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection

论文/Paper: http://arxiv.org/pdf/2203.16220
代码/Code: https://github.com/dlut-dimt/tardal

Learning of Global Objective for Network Flow in Multi-Object Tracking

论文/Paper: http://arxiv.org/pdf/2203.16210
代码/Code: None

FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing

论文/Paper: http://arxiv.org/pdf/2203.16168
代码/Code: None

Omni-DETR: Omni-Supervised Object Detection with Transformers

论文/Paper: http://arxiv.org/pdf/2203.16089
代码/Code: None

Learning to Detect Mobile Objects from LiDAR Scans Without Labels

论文/Paper: http://arxiv.org/pdf/2203.15882
代码/Code: https://github.com/yurongyou/modest

Multi-Granularity Alignment Domain Adaptation for Object Detection

论文/Paper: http://arxiv.org/pdf/2203.16897
代码/Code: None

CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection

论文/Paper: http://arxiv.org/pdf/2204.00325
代码/Code: None

R(Det)^2: Randomized Decision Routing for Object Detection

论文/Paper: http://arxiv.org/pdf/2204.00794
代码/Code: None

Homography Loss for Monocular 3D Object Detection

论文/Paper: http://arxiv.org/pdf/2204.00754
代码/Code: https://github.com/gujiaqivadin/HomographyLoss

Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation

论文/Paper: http://arxiv.org/pdf/2204.02136
代码/Code: None

Towards Robust Adaptive Object Detection under Noisy Annotations

论文/Paper: http://arxiv.org/pdf/2204.02620
代码/Code: None

Towards Open-Set Object Detection and Discovery

论文/Paper: http://arxiv.org/pdf/2204.05604
代码/Code: None

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

论文/Paper: http://arxiv.org/pdf/2204.05575
代码/Code: https://github.com/AIR-THU/DAIR-V2X.

HyperDet3D: Learning a Scene-conditioned 3D Object Detector

论文/Paper: http://arxiv.org/pdf/2204.05599
代码/Code: None

Dense Learning based Semi-Supervised Object Detection

论文/Paper: http://arxiv.org/pdf/2204.07300
代码/Code: https://github.com/chenbinghui1/DSL

Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint

论文/Paper: http://arxiv.org/pdf/2204.07965
代码/Code: None

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection

论文/Paper: http://arxiv.org/pdf/2204.07964
代码/Code: None

Modeling Missing Annotations for Incremental Learning in Object Detection

论文/Paper: http://arxiv.org/pdf/2204.08766
代码/Code: https://github.com/fcdl94/MMA

Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models

论文/Paper: http://arxiv.org/pdf/2204.08745
代码/Code: None

Focal Sparse Convolutional Networks for 3D Object Detection

论文/Paper: http://arxiv.org/abs/2204.12463
代码/Code: http://github.com/dvlab-research/FocalsConv

Rotationally Equivariant 3D Object Detection

论文/Paper: http://arxiv.org/pdf/2204.13630
代码/Code: None

Cross Domain Object Detection by Target-Perceived Dual Branch Distillation

论文/Paper: http://arxiv.org/pdf/2205.01291
代码/Code: https://github.com/feobi1999/tdd

Dynamic Sparse R-CNN

论文/Paper: http://arxiv.org/pdf/2205.02101
代码/Code: None

返回目录/back

目标跟踪/Object Tracking

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

论文/Paper：https://arxiv.org/abs/2111.14690
代码/Code：https://github.com/DanceTrack/DanceTrack

Global Tracking Transformers

论文/Paper: http://arxiv.org/abs/2203.13250
代码/Code: None

MixFormer: End-to-End Tracking with Iterative Mixed Attention

论文/Paper: http://arxiv.org/abs/2203.11082
代码/Code: None

Transforming Model Prediction for Tracking

论文/Paper: http://arxiv.org/abs/2203.11192
代码/Code: None

TCTrack: Temporal Contexts for Aerial Tracking

论文/Paper：https://arxiv.org/abs/2203.01885
代码/Code：https://github.com/vision4robotics/TCTrack

Unified Transformer Tracker for Object Tracking

论文/Paper: http://arxiv.org/pdf/2203.15175
代码/Code: None

Learning of Global Objective for Network Flow in Multi-Object Tracking

论文/Paper: http://arxiv.org/pdf/2203.16210
代码/Code: None

Global Tracking via Ensemble of Local Trackers

论文/Paper: http://arxiv.org/pdf/2203.16092
代码/Code: https://github.com/zikunzhou/gtelt

MeMOT: Multi-Object Tracking with Memory

论文/Paper: http://arxiv.org/pdf/2203.16761
代码/Code: None

Unsupervised Learning of Accurate Siamese Tracking

论文/Paper: http://arxiv.org/pdf/2204.01475
代码/Code: https://github.com/florinshum/ulast

Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline

论文/Paper: http://arxiv.org/abs/2204.04120
代码/Code: None

BEHAVE: Dataset and Method for Tracking Human Object Interactions

论文/Paper: http://arxiv.org/pdf/2204.06950
代码/Code: None

SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos

论文/Paper: http://arxiv.org/pdf/2204.06918
代码/Code: None

Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads

论文/Paper: http://arxiv.org/pdf/2204.08364
代码/Code: None

3D Object Tracking

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects

视频/Demo：Youtube
论文/Paper：https://arxiv.org/abs/2203.05334
代码/Code：https://github.com/DLR-RM/3DObjectTracking

Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles

论文/Paper: http://arxiv.org/pdf/2204.09151
代码/Code: None

返回目录/back

轨迹预测/Trajectory Prediction

How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting

论文/Paper：https://arxiv.org/abs/2203.04781
代码/Code：

Non-Probability Sampling Network for Stochastic Human Trajectory Prediction

论文/Paper: http://arxiv.org/pdf/2203.13471
代码/Code: None

Remember Intentions: Retrospective-Memory-based Trajectory Prediction

论文/Paper: http://arxiv.org/abs/2203.11474
代码/Code: None

Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion

论文/Paper: http://arxiv.org/pdf/2203.13777
代码/Code: None

Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction

论文/Paper: http://arxiv.org/pdf/2204.11561
代码/Code: None

返回目录/back

语义分割/Segmentation

Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2203.09744
代码/Code: https://github.com/lslrh/cpsl

Deep Hierarchical Semantic Segmentation

论文/Paper: http://arxiv.org/abs/2203.14335
代码/Code: None

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

论文/Paper：https://arxiv.org/abs/2203.04074
代码/Code：https://github.com/zhang-tao-whu/e2ec

Hyperbolic Image Segmentation

论文/Paper：https://arxiv.org/abs/2203.05898
代码/Code：

Mask Transfiner for High-Quality Instance Segmentation

论文/Paper： https://arxiv.org/abs/2111.13673
代码/Code：https://github.com/SysCV/transfiner

Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?

论文/Paper: http://arxiv.org/pdf/2203.13427
代码/Code: None

Rethinking Semantic Segmentation: A Prototype View

论文/Paper: http://arxiv.org/pdf/2203.15102
代码/Code: None

Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2203.09653
代码/Code: https://github.com/maeve07/rca

Representation Compensation Networks for Continual Semantic Segmentation

论文/Paper：https://arxiv.org/abs/2203.05402
代码/Code：https://github.com/zhangchbin/RCIL

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2203.15202
代码/Code: None

Semantic Segmentation by Early Region Proxy

论文/Paper: http://arxiv.org/abs/2203.14043
代码/Code: None

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

论文/Paper：https://arxiv.org/abs/2203.03884
代码/Code：

SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation

论文/Paper: http://arxiv.org/pdf/2203.13312
代码/Code: None

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

论文/paper：https://arxiv.org/abs/2106.05095
代码/code：https://github.com/LiheYoung/ST-PlusPlus

Scribble-Supervised LiDAR Semantic Segmentation

论文/Paper：https://arxiv.org/abs/2203.08537
代码/Code：https://github.com/ouenal/scribblekitti

Sparse Instance Activation for Real-Time Instance Segmentation

论文/Paper: http://arxiv.org/abs/2203.12827
代码/Code: None

Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation

论文/Paper: http://arxiv.org/abs/2203.10739
代码/Code: None

Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation

论文/Paper: https://arxiv.org/pdf/2111.12940.pdf
代码/Code:https://github.com/BIT-DA/RIPU

Weakly Supervised Semantic Segmentation using Out-of-Distribution Data

论文/Paper：https://arxiv.org/abs/2203.03860
代码/Code：None

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

论文/Paper: http://arxiv.org/pdf/2203.16768
代码/Code: None

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

论文/Paper: http://arxiv.org/pdf/2204.01587
代码/Code: None

WildNet: Learning Domain Generalized Semantic Segmentation from the Wild

论文/Paper: http://arxiv.org/pdf/2204.01446
代码/Code: https://github.com/suhyeonlee/wildnet

Semantic-Aware Domain Generalized Segmentation

论文/Paper: http://arxiv.org/pdf/2204.00822
代码/Code: https://github.com/leolyj/san-saw

FocalClick: Towards Practical Interactive Image Segmentation

论文/Paper: http://arxiv.org/pdf/2204.02574
代码/Code: https://github.com/XavierCHEN34/ClickSEG

Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation

论文/Paper: http://arxiv.org/pdf/2204.02547
代码/Code: None

Pin the Memory: Learning to Generalize Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.03609
代码/Code: None

Coarse-to-Fine Feature Mining for Video Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.03330
代码/Code: https://github.com/guoleisun/vss-cffm

L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.03206
代码/Code: https://github.com/PengtaoJiang/L2G

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation

论文/Paper: http://arxiv.org/pdf/2204.04656
代码/Code: https://github.com/lxtGH/Video-K-Net

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night

论文/Paper: http://arxiv.org/pdf/2204.05538
代码/Code: None

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.05525
代码/Code: https://github.com/hustvl/TopFormer

Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.05370
代码/Code: None

Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity

论文/Paper: http://arxiv.org/pdf/2204.06107
代码/Code: None

Joint Forecasting of Panoptic Segmentations with Difference Attention (Oral)

论文/Paper: http://arxiv.org/pdf/2204.07157
代码/Code: None

Cross-Image Relational Knowledge Distillation for Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.06986
代码/Code: https://github.com/winycg/cirkd

Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation (Oral)

论文/Paper: http://arxiv.org/pdf/2204.07548
代码/Code: https://github.com/drprojects/DeepViewAgg

Temporally Efficient Vision Transformer for Video Instance Segmentation

论文/Paper: http://arxiv.org/pdf/2204.08412
代码/Code: https://github.com/hustvl/TeViT.

Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images

论文/Paper: http://arxiv.org/pdf/2204.07969
代码/Code: None

Dual-Domain Image Synthesis using Segmentation-Guided GAN

论文/Paper: http://arxiv.org/pdf/2204.09015
代码/Code: https://github.com/denabazazian/Dual-Domain-Synthesis.

Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity

论文/Paper: http://arxiv.org/pdf/2204.08744
代码/Code: None

Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization

论文/Paper: http://arxiv.org/pdf/2204.09334
代码/Code: https://github.com/LOUEY233/Toward-Mutual-Information}{https://github.com/LOUEY233/Toward-Mutual-Information

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.10638
代码/Code: None

Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images

论文/Paper: http://arxiv.org/pdf/2204.10356
代码/Code: https://github.com/cy-xu/cosmic-conn

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.11667
代码/Code: None

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers

论文/Paper: http://arxiv.org/pdf/2204.11432
代码/Code: https://github.com/twke18/HSG

Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod

论文/Paper: http://arxiv.org/pdf/2204.10902
代码/Code: None

DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation

论文/Paper: http://arxiv.org/abs/2204.11911
代码/Code: None

Self-Supervised Learning of Object Parts for Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.13101
代码/Code: None

MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.12667
代码/Code: None

Cross-view Transformers for real-time Map-view Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2205.02833
代码/Code: https://github.com/bradyz/cross_view_transformers

返回目录/back

弱监督语义分割/Weakly Supervised Semantic Segmentation

返回目录/back

医学图像分割/Medical Image Segmentation

返回目录/back

视频目标分割/Video Object Segmentation

Language as Queries for Referring Video Object Segmentation

论文/paper：https://arxiv.org/abs/2201.00487
代码/code：https://github.com/wjn922/ReferFormer

返回目录/back

交互式视频目标分割/Interactive Video Object Segmentation

MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection

论文/Paper: http://arxiv.org/abs/2203.14709
代码/Code: None

OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction

论文/Paper: http://arxiv.org/pdf/2203.15709
代码/Code: None

What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions

论文/Paper: http://arxiv.org/pdf/2204.00746
代码/Code: None

返回目录/back

Visual Transformer

Affine Medical Image Registration with Coarse-to-Fine Vision Transformer

论文/Paper: http://arxiv.org/pdf/2203.15216
代码/Code: https://github.com/cwmok/C2FViT

Automated Progressive Learning for Efficient Training of Vision Transformers

论文/Paper: http://arxiv.org/abs/2203.14509
代码/Code: None

Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning

论文/Paper：https://arxiv.org/abs/2203.09064
代码/Code：https://github.com/StomachCold/HCTransformers

Cascade Transformers for End-to-End Person Search

论文/Paper: http://arxiv.org/pdf/2203.09642
代码/Code: https://github.com/kitware/coat

EDTER: Edge Detection with Transformer

论文/Paper：https://arxiv.org/abs/2203.08566
代码/Code：

Few-Shot Object Detection with Fully Cross-Transformer

论文/Paper: http://arxiv.org/pdf/2203.15021
代码/Code: None

Global Tracking Transformers

论文/Paper: http://arxiv.org/abs/2203.13250
代码/Code: None

GradViT: Gradient Inversion of Vision Transformers

论文/Paper: http://arxiv.org/abs/2203.11894
代码/Code: https://gradvit.github.io/

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

论文/Paper: http://arxiv.org/abs/2203.10833
代码/Code: None

Meta-attention for ViT-backed Continual Learning

论文/Paper: http://arxiv.org/abs/2203.11684
代码/Code: None

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

论文/Paper: https://arxiv.org/pdf/2111.12707.pdf
代码/Code: https://github.com/Vegetebird/MHFormer

Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut

论文/Paper：https://arxiv.org/abs/2202.11539 | 主页
代码/Code：https://github.com/YangtaoWANG95/TokenCut

Training-free Transformer Architecture Search

论文/Paper: http://arxiv.org/abs/2203.12217
代码/Code: None

Towards Practical Certifiable Patch Defense with Vision Transformer

论文/Paper：https://arxiv.org/abs/2203.08519
代码/Code：

Towards Robust Vision Transformer

论文/Paper: https://arxiv.org/abs/2105.07926
代码/Code: https://github.com/vtddggg/Robust-Vision-Transformer

Collaborative Transformers for Grounded Situation Recognition

论文/Paper: http://arxiv.org/pdf/2203.16518
代码/Code: https://github.com/jhcho99/coformer

TubeDETR: Spatio-Temporal Video Grounding with Transformers

论文/Paper: http://arxiv.org/pdf/2203.16434
代码/Code: https://github.com/antoyang/TubeDETR

InstaFormer: Instance-Aware Image-to-Image Translation with Transformer

论文/Paper: http://arxiv.org/pdf/2203.16248
代码/Code: None

Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation

论文/Paper: http://arxiv.org/pdf/2203.16202
代码/Code: None

Omni-DETR: Omni-Supervised Object Detection with Transformers

论文/Paper: http://arxiv.org/pdf/2203.16089
代码/Code: None

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

论文/Paper: http://arxiv.org/pdf/2203.17266
代码/Code: https://github.com/BillyXYB/TransEditor

VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers

论文/Paper: http://arxiv.org/pdf/2203.17247
代码/Code: None

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

论文/Paper: http://arxiv.org/pdf/2203.16896
代码/Code: None

Deformable Video Transformer

论文/Paper: http://arxiv.org/pdf/2203.16795
代码/Code: None

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

论文/Paper: http://arxiv.org/pdf/2203.16768
代码/Code: None

TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting

论文/Paper: http://arxiv.org/pdf/2204.01018
代码/Code: https://github.com/sviprepetitioncounting/transrac

Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes

论文/Paper: http://arxiv.org/pdf/2204.00656
代码/Code: None

Multi-View Transformer for 3D Visual Grounding

论文/Paper: http://arxiv.org/pdf/2204.02174
代码/Code: None

Dual-AI: Dual-path Action Interaction Learning for Group Activity Recognition

论文/Paper: http://arxiv.org/pdf/2204.02148
代码/Code: None

Detector-Free Weakly Supervised Group Activity Recognition

论文/Paper: http://arxiv.org/pdf/2204.02139
代码/Code: None

Text Spotting Transformers

论文/Paper: http://arxiv.org/pdf/2204.01918
代码/Code: None

PSTR: End-to-End One-Step Person Search With Transformers

论文/Paper: http://arxiv.org/pdf/2204.03340
代码/Code: https://github.com/jialecao001/pstr

Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection

论文/Paper: http://arxiv.org/pdf/2204.04836
代码/Code: https://github.com/mlvlab/CPChoi.

Multimodal Transformer for Nursing Activity Recognition

论文/Paper: http://arxiv.org/pdf/2204.04564
代码/Code: https://github.com/Momilijaz96/MMT_for_NCRC

Learning Trajectory-Aware Transformer for Video Super-Resolution

论文/Paper: http://arxiv.org/pdf/2204.04216
代码/Code: https://github.com/researchmm/TTVSR

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2204.05525
代码/Code: https://github.com/hustvl/TopFormer

Are Multimodal Transformers Robust to Missing Modality?

论文/Paper: http://arxiv.org/pdf/2204.05454
代码/Code: None

MiniViT: Compressing Vision Transformers with Weight Multiplexing

论文/Paper: http://arxiv.org/pdf/2204.07154
代码/Code: https://github.com/microsoft/cream

ViTOL: Vision Transformer for Weakly Supervised Object Localization

论文/Paper: http://arxiv.org/pdf/2204.06772
代码/Code: https://github.com/Saurav-31/ViTOL

Temporally Efficient Vision Transformer for Video Instance Segmentation

论文/Paper: http://arxiv.org/pdf/2204.08412
代码/Code: https://github.com/hustvl/TeViT.

Safe Self-Refinement for Transformer-based Domain Adaptation

论文/Paper: http://arxiv.org/pdf/2204.07683
代码/Code: None

Multi-Frame Self-Supervised Depth with Transformers

论文/Paper: http://arxiv.org/pdf/2204.07616
代码/Code: None

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

论文/Paper: http://arxiv.org/pdf/2204.08913
代码/Code: https://github.com/AlexZou14/SCET.

Multimodal Token Fusion for Vision Transformers

论文/Paper: http://arxiv.org/pdf/2204.08721
代码/Code: None

Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer (Oral)

论文/Paper: http://arxiv.org/pdf/2204.08680
代码/Code: https://github.com/zengwang430521/TCFormer

NFormer: Robust Person Re-identification with Neighbor Transformer

论文/Paper: http://arxiv.org/pdf/2204.09331
代码/Code: https://github.com/haochenheheda/NFormer

Human-Object Interaction Detection via Disentangled Transformer

论文/Paper: http://arxiv.org/pdf/2204.09290
代码/Code: None

A New Dataset and Transformer for Stereoscopic Video Super-Resolution

论文/Paper: http://arxiv.org/pdf/2204.10039
代码/Code: https://github.com/H-deep/Trans-SVSR/

Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval

论文/Paper: http://arxiv.org/pdf/2204.09730
代码/Code: https://github.com/mshukor/TFood

Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers

论文/Paper: http://arxiv.org/pdf/2204.11432
代码/Code: https://github.com/twke18/HSG

VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout

论文/Paper: http://arxiv.org/pdf/2204.11024
代码/Code: None

DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers

论文/Paper: http://arxiv.org/pdf/2204.12997
代码/Code: None

UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog

论文/Paper: http://arxiv.org/pdf/2205.00423
代码/Code: None

TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition

论文/Paper: http://arxiv.org/pdf/2205.02028
代码/Code: https://github.com/kennymckormick/TransRank

Cross-view Transformers for real-time Map-view Semantic Segmentation

论文/Paper: http://arxiv.org/pdf/2205.02833
代码/Code: https://github.com/bradyz/cross_view_transformers

返回目录/back

深度估计/Depth Estimation

OACC-Net: Occlusion-Aware Cost Constructor for Light Field Depth Estimation

论文/Paper: https://arxiv.org/pdf/2203.01576.pdf
代码/Code: https://github.com/YingqianWang/OACC-Net

P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior

论文/Paper: http://arxiv.org/pdf/2204.02091
代码/Code: None

HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model

论文/Paper: http://arxiv.org/pdf/2204.05007
代码/Code: None

返回目录/back

人脸识别/Face Recognition

Adaface: Quality Adaptive Margin for Face Recognition

论文/Paper: http://arxiv.org/pdf/2204.00964
代码/Code: https://github.com/mk-minchul/adaface

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

论文/Paper: http://arxiv.org/pdf/2204.10149
代码/Code: None

返回目录/back

人脸检测/Face Detection

Privacy-preserving Online AutoML for Domain-Specific Face Detection

论文/Paper：https://arxiv.org/abs/2203.08399
代码/Code：None

Robust Neonatal Face Detection in Real-world Clinical Settings

论文/Paper: http://arxiv.org/pdf/2204.00655
代码/Code: None

返回目录/back

人脸活体检测/Face Anti-Spoofing

Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing

论文/Paper: https://arxiv.org/abs/2203.05340
代码/Code:

PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition

论文/Paper: http://arxiv.org/abs/2203.14325
代码/Code: None

Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

论文/Paper: http://arxiv.org/abs/2203.12208
代码/Code: https://github.com/liangchen527/sladd

返回目录/back

人脸年龄估计/Age Estimation

返回目录/back

人脸表情识别/Facial Expression Recognition

MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis

论文/Paper: http://arxiv.org/pdf/2203.13443
代码/Code: None

Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin

论文/Paper: http://arxiv.org/abs/2203.12341
代码/Code: https://github.com/hangyu94/ada-cm

返回目录/back

人脸属性识别/Facial Attribute Recognition

Fair Contrastive Learning for Facial Attribute Classification

论文/Paper: http://arxiv.org/pdf/2203.16209
代码/Code: https://github.com/sungho-coolg/fscl

人脸编辑/Facial Editing

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

论文/Paper: http://arxiv.org/pdf/2203.17266
代码/Code: https://github.com/BillyXYB/TransEditor

Face Relighting with Geometrically Consistent Shadows

论文/Paper: http://arxiv.org/pdf/2203.16681
代码/Code: None

Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination

论文/Paper: http://arxiv.org/pdf/2203.16669
代码/Code: None

EMOCA: Emotion Driven Monocular Face Capture and Animation

论文/Paper: http://arxiv.org/pdf/2204.11312
代码/Code: None

返回目录/back

换脸/Face Swap

High-resolution Face Swapping via Latent Semantics Disentanglement

论文/Paper: http://arxiv.org/pdf/2203.15958
代码/Code: None

返回目录/back

人体姿态估计/Human Pose Estimation

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video

论文/Paper：https://arxiv.org/abs/2203.08534
代码/Code：https://mps-net.github.io/MPS-Net/

DiffPoseNet: Direct Differentiable Camera Pose Estimation

论文/Paper: http://arxiv.org/abs/2203.11174
代码/Code: None

EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

论文/Paper: http://arxiv.org/abs/2203.13254
代码/Code: None

GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting

论文/Paper：https://arxiv.org/abs/2203.07918
代码/Code：

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

论文/Paper：https://arxiv.org/abs/2203.00859
代码/Code：https://github.com/JinluZhang1126/MixSTE

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

论文/Paper: https://arxiv.org/pdf/2111.12707.pdf
代码/Code: https://github.com/Vegetebird/MHFormer

OSOP: A Multi-Stage One Shot Object Pose Estimation Framework

论文/Paper: http://arxiv.org/pdf/2203.15533
代码/Code: None

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation

论文/Paper: http://arxiv.org/pdf/2203.15227
代码/Code: None

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision

论文/Paper: http://arxiv.org/pdf/2203.15625
代码/Code: None

Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization

论文/Paper: http://arxiv.org/abs/2203.11471
代码/Code: https://github.com/YxZhxn/Ray3D

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation

论文/Paper: http://arxiv.org/pdf/2203.15293
代码/Code: None

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

论文/Paper: http://arxiv.org/pdf/2203.17234
代码/Code: None

Focal Length and Object Pose Estimation via Render and Compare

论文/Paper: http://arxiv.org/pdf/2204.05145
代码/Code: http://github.com/ponimatkin/focalpose

DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation

论文/Paper: http://arxiv.org/pdf/2204.09983
代码/Code: None

Coupled Iterative Refinement for 6D Multi-Object Pose Estimation

论文/Paper: http://arxiv.org/pdf/2204.12516
代码/Code: https://github.com/princeton-vl/Coupled-Iterative-Refinement.

返回目录/back

6D位姿估计 /6D Pose Estimation

FS6D: Few-Shot 6D Pose Estimation of Novel Objects

论文/Paper: http://arxiv.org/abs/2203.14628
代码/Code: None

Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation

论文/Paper: http://arxiv.org/abs/2203.14531
代码/Code: None

ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation

论文/Paper：https://arxiv.org/abs/2203.09418
代码/Code：

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization

论文/Paper: http://arxiv.org/abs/2203.12870
代码/Code: None

ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework

论文/Paper: http://arxiv.org/pdf/2204.01080
代码/Code: None

返回目录/back

手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery

返回目录/back

视频动作检测/Video Action Detection

DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition

论文/Paper: http://arxiv.org/abs/2203.10233
代码/Code: None

End-to-End Semi-Supervised Learning for Video Action Detection

论文/Paper：https://arxiv.org/abs/2203.04251
代码/Code：

How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs

论文/Paper: http://arxiv.org/abs/2203.12344
代码/Code: https://github.com/hazeld/pseudoadverbs

Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos

论文/Paper: http://arxiv.org/abs/2203.11637
代码/Code: https://github.com/soCzech/LookForTheChange

RCL: Recurrent Continuous Localization for Temporal Action Detection

论文/Paper：https://arxiv.org/abs/2203.07112
代码/Code：

SPAct: Self-supervised Privacy Preservation for Action Recognition

论文/Paper: http://arxiv.org/pdf/2203.15205
代码/Code: None

An Empirical Study of End-to-End Temporal Action Detection

论文/Paper: http://arxiv.org/pdf/2204.02932
代码/Code: https://github.com/xlliu7/E2E-TAD

SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition

论文/Paper: http://arxiv.org/pdf/2204.04796
代码/Code: None

Video Action Detection: Analysing Limitations and Challenges

论文/Paper: http://arxiv.org/pdf/2204.07892
代码/Code: None

Hybrid Relation Guided Set Matching for Few-shot Action Recognition

论文/Paper: http://arxiv.org/pdf/2204.13423
代码/Code: None

Cross-modal Representation Learning for Zero-shot Action Recognition

论文/Paper: http://arxiv.org/pdf/2205.01657
代码/Code: None

返回目录/back

手语翻译/Sign Language Translation

A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation

论文/Paper：https://arxiv.org/abs/2203.04287
代码/Code：

返回目录/back

3D人体重建/Person Reconstruction

ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations

论文/Paper: http://arxiv.org/abs/2203.14510
代码/Code: None

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation

论文/Paper：https://arxiv.org/abs/2203.09516
代码/Code：https://yccyenchicheng.github.io/AutoSDF/

Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera

论文/Paper: http://arxiv.org/abs/2203.12780
代码/Code: None

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

论文/Paper: https://arxiv.org/pdf/2111.12707.pdf
代码/Code: https://github.com/Vegetebird/MHFormer

OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction

论文/Paper：https://arxiv.org/abs/2203.07977
代码/Code：https://wenbin-lin.github.io/OcclusionFusion

Structured Local Radiance Fields for Human Avatar Modeling

论文/Paper: http://arxiv.org/abs/2203.14478
代码/Code: None

JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction

论文/Paper: http://arxiv.org/pdf/2204.10549
代码/Code: None

返回目录/back

行人重识别/Person Re-identification

Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification

论文/Paper: http://arxiv.org/pdf/2203.15210
代码/Code: None

Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

论文/Paper: http://arxiv.org/abs/2203.14675
代码/Code: None

Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification

论文/Paper: http://arxiv.org/pdf/2204.02611
代码/Code: https://github.com/Yanan-Wang-cs/ClonedPerson

Implicit Sample Extension for Unsupervised Person Re-Identification

论文/Paper: http://arxiv.org/pdf/2204.06892
代码/Code: https://github.com/PaddlePaddle/PaddleClas

Clothes-Changing Person Re-identification with RGB Modality Only

论文/Paper: http://arxiv.org/pdf/2204.06890
代码/Code: https://github.com/guxinqian/Simple-CCReID.

NFormer: Robust Person Re-identification with Neighbor Transformer

论文/Paper: http://arxiv.org/pdf/2204.09331
代码/Code: https://github.com/haochenheheda/NFormer

返回目录/back

行人搜索/Person Search

返回目录/back

人群计数 / Crowd Counting

Cross-View Cross-Scene Multi-View Crowd Counting

论文/Paper: http://arxiv.org/pdf/2205.01551
代码/Code: None

返回目录/back

GAN

A Style-aware Discriminator for Controllable Image Translation

论文/Paper: http://arxiv.org/pdf/2203.15375
代码/Code: None

Attribute Group Editing for Reliable Few-shot Image Generation

论文/Paper：https://arxiv.org/abs/2203.08422
代码/Code：

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

论文/Paper: http://arxiv.org/abs/2203.13055
代码/Code: None

Compound Domain Generalization via Meta-Knowledge Encoding

论文/Paper: http://arxiv.org/abs/2203.13006
代码/Code: None

Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation

论文/Paper: http://arxiv.org/abs/2203.14668
代码/Code: None

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

论文/Paper：https://arxiv.org/abs/2203.07740
代码/Code：https://github.com/YBZh/EFDM

FlexIT: Towards Flexible Semantic Image Translation

论文/paper：https://arxiv.org/abs/2203.04705
代码/code：

GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors

论文/Paper：https://arxiv.org/abs/2203.07319
代码/Code：

GAN-Supervised Dense Visual Alignment

论文/paper：https://arxiv.org/abs/2112.05143
代码/code：https://github.com/wpeebles/gangealing

GIRAFFE HD: A High-Resolution 3D-aware Generative Model

论文/Paper: http://arxiv.org/abs/2203.14954
代码/Code: None

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

论文/paper：https://arxiv.org/abs/2111.15666 | 主页
代码/code：https://github.com/yuval-alaluf/hyperstyle

Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

论文/Paper：https://arxiv.org/abs/2203.09457
代码/Code：https://xrenaa.github.io/look-outside-room/

Modulated Contrast for Versatile Image Synthesis

论文/Paper：https://arxiv.org/abs/2203.09333
代码/Code：https://github.com/fnzhan/MoNCE

Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation

论文/Paper: http://arxiv.org/abs/2203.12707
代码/Code: None

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

论文/Paper: http://arxiv.org/abs/2203.13248
代码/Code: None

QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation

论文/Paperhttps://arxiv.org/abs/2203.08483
代码/Code：

RGB-Depth Fusion GAN for Indoor Depth Completion

论文/Paper: http://arxiv.org/abs/2203.10856
代码/Code: None

Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation

论文/Paper: http://arxiv.org/pdf/2203.09811
代码/Code: https://github.com/dongxingning/sha-gcl-for-sgg

Style Transformer for Image Inversion and Editing

论文/Paper：https://arxiv.org/abs/2203.07932
代码/Code：

Unsupervised Domain Adaptation for Nighttime Aerial Tracking

论文/Paper: http://arxiv.org/abs/2203.10541
代码/Code: None

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation

论文/Paper：https://arxiv.org/abs/2203.06321
代码/Code：

Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation

论文/Paper: http://arxiv.org/abs/2203.12835
代码/Code: None

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

论文/Paper: http://arxiv.org/pdf/2203.17266
代码/Code: https://github.com/BillyXYB/TransEditor

TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

论文/Paper: http://arxiv.org/pdf/2203.17266
代码/Code: https://github.com/BillyXYB/TransEditor

Marginal Contrastive Correspondence for Guided Image Generation

论文/Paper: http://arxiv.org/pdf/2204.00442
代码/Code: None

Style-Based Global Appearance Flow for Virtual Try-On

论文/Paper: http://arxiv.org/pdf/2204.01046
代码/Code: https://github.com/senhe/flow-style-vton

Arbitrary-Scale Image Synthesis

论文/Paper: http://arxiv.org/pdf/2204.02273
代码/Code: https://github.com/vglsd/ScaleParty

Unsupervised Image-to-Image Translation with Generative Prior

论文/Paper: http://arxiv.org/pdf/2204.03641
代码/Code: https://github.com/williamyang1991/gp-unit

Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data

论文/Paper: http://arxiv.org/pdf/2204.04950
代码/Code: None

medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space

论文/Paper: http://arxiv.org/abs/2204.05376
代码/Code: https://github.com/avdravid/medXGAN_explanations

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

论文/Paper: http://arxiv.org/pdf/2204.06307
代码/Code: None

Dual-Domain Image Synthesis using Segmentation-Guided GAN

论文/Paper: http://arxiv.org/pdf/2204.09015
代码/Code: https://github.com/denabazazian/Dual-Domain-Synthesis.

ClothFormer:Taming Video Virtual Try-on in All Module

论文/Paper: http://arxiv.org/abs/2204.12151
代码/Code: None

OSSGAN: Open-Set Semi-Supervised Image Generation

论文/Paper: http://arxiv.org/pdf/2204.14249
代码/Code: https://github.com/raven38/ossgan

Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN

论文/Paper: http://arxiv.org/pdf/2204.14079
代码/Code: None

GenDR: A Generalized Differentiable Renderer

论文/Paper: http://arxiv.org/pdf/2204.13845
代码/Code: https://github.com/Felix-Petersen/gendr

HL-Net: Heterophily Learning Network for Scene Graph Generation

论文/Paper: http://arxiv.org/pdf/2205.01316
代码/Code: https://github.com/siml3/HL-Net.

RU-Net: Regularized Unrolling Network for Scene Graph Generation

论文/Paper: http://arxiv.org/pdf/2205.01297
代码/Code: https://github.com/siml3/RU-Net

Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing M.C Escher's Print Gallery

论文/Paper: http://arxiv.org/pdf/2205.01741
代码/Code: None

Generate and Edit Your Own Character in a Canonical View

论文/Paper: http://arxiv.org/pdf/2205.02974
代码/Code: None

Scene Graph Expansion for Semantics-Guided Image Outpainting

论文/Paper: http://arxiv.org/pdf/2205.02958
代码/Code: None

返回目录/back

彩妆迁移 / Color-Pattern Makeup Transfer

返回目录/back

字体生成 / Font Generation

返回目录/back

OCR

Fourier Document Restoration for Robust Document Dewarping and Recognition

论文/Paper: http://arxiv.org/pdf/2203.09910
代码/Code: None

SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization

论文/Paper: http://arxiv.org/abs/2203.10492
代码/Code: None

文字图像处理（超分辨率增强、文字分割、文档版面分析）

A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution

论文/Paper：https://arxiv.org/abs/2203.09388
代码/Code：https://github.com/mjq11302010044/TATT

场景文本检测、识别/Scene Text Detection/Recognition

Kernel Proposal Network for Arbitrary Shape Text Detection

论文/Paper：https://arxiv.org/abs/2203.06410
代码/Code：https://github.com/GXYM/KPN

SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition

论文/Paper: http://arxiv.org/abs/2203.10209
代码/Code: None

Towards End-to-End Unified Scene Text Detection and Layout Analysis

论文/Paper: http://arxiv.org/pdf/2203.15143
代码/Code: None

Pushing the Performance Limit of Scene Text Recognizer without Human Annotation

论文/Paper: http://arxiv.org/pdf/2204.07714
代码/Code: None

Vision-Language Pre-Training for Boosting Scene Text Detectors

论文/Paper: http://arxiv.org/pdf/2204.13867
代码/Code: None

端到端文字识别

Open-set Text Recognition via Character-Context Decoupling

论文/Paper: http://arxiv.org/pdf/2204.05535
代码/Code: None

手写文字分析与识别

其它（文档图像预训练模型，Text VQA、数据集，Retrieval , 应用）

返回目录/back

图像、视频检索 / Image Retrieval/Video retrieval

Correlation Verification for Image Retrieval

论文/Paper: http://arxiv.org/pdf/2204.01458
代码/Code: https://github.com/sungonce/cvnet

Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval

论文/Paper: http://arxiv.org/abs/2203.14817
代码/Code: None

Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image

论文/Paper: http://arxiv.org/pdf/2204.04752
代码/Code: None

Probabilistic Compositional Embeddings for Multimodal Image Retrieval

论文/Paper: http://arxiv.org/pdf/2204.05845
代码/Code: https://github.com/andreineculai/MPC.

返回目录/back

Image Animation

Thin-Plate Spline Motion Model for Image Animation

论文/Paper: http://arxiv.org/abs/2203.14367
代码/Code: None

返回目录/back

抠图/Image Matting/Video Matting

返回目录/back

超分辨率/Super Resolution

Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution

论文/Paper：https://arxiv.org/abs/2203.09195
代码/Code：https://github.com/csjliang/LDL

Learning Graph Regularisation for Guided Super-Resolution

论文/Paper: http://arxiv.org/abs/2203.14297
代码/Code: None

Reflash Dropout in Image Super-Resolution

论文/Paper：https://arxiv.org/pdf/2112.12089.pdf
代码/Code：https://github.com/Xiangtaokong/Reflash-Dropout-in-Image-Super-Resolution

Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling

论文/Paper: http://arxiv.org/pdf/2204.07114
代码/Code: None

Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution

论文/Paper: http://arxiv.org/pdf/2204.08397
代码/Code: https://github.com/NJU-Jet/FMEN.

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

论文/Paper: http://arxiv.org/pdf/2204.08913
代码/Code: https://github.com/AlexZou14/SCET.

Edge-enhanced Feature Distillation Network for Efficient Super-Resolution

论文/Paper: http://arxiv.org/pdf/2204.08759
代码/Code: https://github.com/icandle/EFDN.

A New Dataset and Transformer for Stereoscopic Video Super-Resolution

论文/Paper: http://arxiv.org/pdf/2204.10039
代码/Code: https://github.com/H-deep/Trans-SVSR/

FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow

论文/Paper: http://arxiv.org/pdf/2204.09679
代码/Code: None

IMDeception: Grouped Information Distilling Super-Resolution Network

论文/Paper: http://arxiv.org/pdf/2204.11463
代码/Code: None

Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites

论文/Paper: http://arxiv.org/pdf/2205.02031
代码/Code: None

返回目录/back

图像复原/Image Restoration

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes

论文/Paper: http://arxiv.org/abs/2203.11754
代码/Code: None

Interacting Attention Graph for Single Image Two-Hand Reconstruction

论文/Paper：https://arxiv.org/abs/2203.09364
代码/Code：https://github.com/Dw1010/IntagHand

Deep Generalized Unfolding Networks for Image Restoration

论文/Paper: http://arxiv.org/pdf/2204.13348
代码/Code: https://github.com/MC-E/Deep-Generalized-Unfolding-Networks-for-Image-Restoration.

返回目录/back

图像补全/Image Inpainting

Bridging Global Context Interactions for High-Fidelity Image Completion

论文/Paper：https://arxiv.org/abs/2104.00845
代码/Code：https://github.com/lyndonzheng/TFill

MAT: Mask-Aware Transformer for Large Hole Image Inpainting

论文/Paper: http://arxiv.org/pdf/2203.15270
代码/Code: None

MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting

论文/Paper：https://arxiv.org/abs/2203.06304
代码/Code：https://github.com/tsingqguo/misf

Towards An End-to-End Framework for Flow-Guided Video Inpainting

论文/Paper: http://arxiv.org/pdf/2204.02663
代码/Code: https://github.com/MCG-NKU/E2FGVI

返回目录/back

图像去噪/Image Denoising

AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network

论文/Paper: http://arxiv.org/abs/2203.11799
代码/Code: None

Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots

论文/Paper：https://arxiv.org/abs/2203.06967
代码/Code：https://github.com/demonsjin/Blind2Unblind

CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image

论文/Paper: http://arxiv.org/abs/2203.13009
代码/Code: None

Learning to Deblur using Light Field Generated and Real Defocus Images

论文/Paper: http://arxiv.org/pdf/2204.00367
代码/Code: https://github.com/lingyanruan/DRBNet

Dancing under the stars: video denoising in starlight

论文/Paper: http://arxiv.org/abs/2204.04210
代码/Code: None

Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation

论文/Paper: http://arxiv.org/pdf/2204.13873
代码/Code: None

返回目录/back

图像编辑/Image Editing

返回目录/back

图像拼接/Image stitching

Deep Rectangling for Image Stitching: A Learning Baseline

论文/Paper：https://arxiv.org/abs/2203.03831
代码/Code：https://github.com/nie-lang/DeepRectangling

返回目录/back

图像匹配/Image Matching

返回目录/back

图像融合/Image Blending

返回目录/back

图像去雾/Image Dehazing

返回目录/back

图像压缩/Image Compression

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

论文/Paper: http://arxiv.org/abs/2203.10886
代码/Code: None

Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression

论文/Paper: http://arxiv.org/abs/2203.10897
代码/Code: None

返回目录/back

反光去除/Reflection Removal

返回目录/back

车道线检测/Lane Detection

CLRNet: Cross Layer Refinement Network for Lane Detection

论文/Paper: http://arxiv.org/abs/2203.10350
代码/Code: None

Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes

论文/Paper: http://arxiv.org/pdf/2203.15302
代码/Code: None

Rethinking Efficient Lane Detection via Curve Modeling

论文/Paper：https://arxiv.org/abs/2203.02431
代码/Code：https://github.com/voldemortX/pytorch-auto-drive

Towards Driving-Oriented Metric for Lane Detection Models

论文/Paper: http://arxiv.org/pdf/2203.16851
代码/Code: None

A Keypoint-based Global Association Network for Lane Detection

论文/Paper: http://arxiv.org/pdf/2204.07335
代码/Code: https://github.com/Wolfwjs/GANet.

ONCE-3DLanes: Building Monocular 3D Lane Detection

论文/Paper: http://arxiv.org/pdf/2205.00301
代码/Code: None

返回目录/back

自动驾驶 / Autonomous Driving

Learning from All Vehicles

论文/Paper: http://arxiv.org/abs/2203.11934
代码/Code: https://github.com/dotchen/LAV

返回目录/back

流体重建/Fluid Reconstruction

返回目录/back

场景重建 / Scene Reconstruction

3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow

论文/Paper: http://arxiv.org/pdf/2203.15190
代码/Code: None

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction

论文/Paper: http://arxiv.org/abs/2203.11283
代码/Code: None

PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

论文/Paper: http://arxiv.org/abs/2203.12082
代码/Code: None

Neural 3D Scene Reconstruction with the Manhattan-world Assumption

论文/Paper: http://arxiv.org/pdf/2205.02836
代码/Code: https://github.com/zju3dv/manhattan_sdf

返回目录/back

视频插帧/Frame Interpolation

Long-term Video Frame Interpolation via Feature Propagation

论文/Paper: http://arxiv.org/pdf/2203.15427
代码/Code: None

TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation

论文/Paper: http://arxiv.org/abs/2203.13859
代码/Code: None

Unifying Motion Deblurring and Frame Interpolation with Events

论文/Paper: http://arxiv.org/abs/2203.12178
代码/Code: None

Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion

论文/Paper: http://arxiv.org/pdf/2203.17191
代码/Code: None

Many-to-many Splatting for Efficient Video Frame Interpolation

论文/Paper: http://arxiv.org/pdf/2204.03513
代码/Code: https://github.com/feinanshan/m2m_vfi

返回目录/back

视频超分 / Video Super-Resolution

Reference-based Video Super-Resolution Using Multi-Camera Video Triplets

论文/Paper: http://arxiv.org/abs/2203.14537
代码/Code: None

返回目录/back

3D点云/3D point cloud

ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation

论文/Paper：https://arxiv.org/abs/2203.03888
代码/Code：

AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception

论文/Paper: http://arxiv.org/abs/2203.13090
代码/Code: None

Contrastive Boundary Learning for Point Cloud Segmentation

论文/Paper：https://arxiv.org/abs/2203.05272
代码/Code：https://github.com/LiyaoTang/contrastBoundary

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing

论文/Paper: http://arxiv.org/abs/2203.14486
代码/Code: None

IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment

论文/Paper: http://arxiv.org/abs/2203.11590
代码/Code: None

Learning a Structured Latent Space for Unsupervised Point Cloud Completion

论文/Paper: http://arxiv.org/pdf/2203.15580
代码/Code: None

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

论文/Paper: http://arxiv.org/abs/2203.11139
代码/Code: None

No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces

论文/Paper: http://arxiv.org/abs/2203.11113
代码/Code: None

REGTR: End-to-end Point Cloud Correspondences with Transformers

论文/Paper: http://arxiv.org/abs/2203.14517
代码/Code: None

SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration

论文/Paper: http://arxiv.org/abs/2203.14453
代码/Code: None

Stratified Transformer for 3D Point Cloud Segmentation

论文/Paper: http://arxiv.org/abs/2203.14508
代码/Code: None

Shape-invariant 3D Adversarial Point Clouds

论文/Paper：https://arxiv.org/abs/2203.04041
代码/Code：https://github.com/shikiw/SI-Adv

WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation

论文/Paper: http://arxiv.org/abs/2203.12917
代码/Code: None

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

论文/Paper: http://arxiv.org/pdf/2203.16895
代码/Code: None

Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds

论文/Paper: http://arxiv.org/pdf/2203.16895
代码/Code: None

Learning Local Displacements for Point Cloud Completion

论文/Paper: http://arxiv.org/pdf/2203.16600
代码/Code: None

3DeformRS: Certifying Spatial Deformations on Point Clouds

论文/Paper: http://arxiv.org/pdf/2204.05687
代码/Code: None

Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors

论文/Paper: http://arxiv.org/pdf/2204.10603
代码/Code: https://github.com/mabaorui/onsurfaceprior

Surface Reconstruction from Point Clouds by Learning Predictive Context Priors

论文/Paper: http://arxiv.org/pdf/2204.11015
代码/Code: None

Density-preserving Deep Point Cloud Compression

论文/Paper: http://arxiv.org/pdf/2204.12684
代码/Code: None

返回目录/back

标签噪声 Label-Noise

返回目录/back

对抗样本 / Adversarial Examples

LAS-AT: Adversarial Training with Learnable Attack Strategy

论文/Paper：https://arxiv.org/pdf/2203.06616.pdf
代码/Code：https://github.com/jiaxiaojunQAQ/LAS-AT

返回目录/back

其他/Other

DINE: Domain Adaptation from Single and Multiple Black-box Predictors

论文/Paper：https://arxiv.org/abs/2104.01539
代码/Code：https://github.com/tim-learn/DINE

It's About Time: Analog clock Reading in the Wild

论文/Paper：https://arxiv.org/abs/2111.09162
代码/Code：https://github.com/charigyang/itsabouttime

Neural Face Identification in a 2D Wireframe Projection of a Manifold Object

论文/Paper：https://arxiv.org/abs/2203.04229 | 主页
代码/Code：https://github.com/manycore-research/faceformer

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

论文/Paper：https://arxiv.org/abs/2203.04279
代码/Code：https://github.com/PruneTruong/DenseMatching

TeachAugment: Data Augmentation Optimization Using Teacher Knowledge

论文/Paper：https://arxiv.org/abs/2202.12513
代码/Code：https://github.com/DensoITLab/TeachAugment

UKPGAN: Unsupervised KeyPoint GANeration

论文/Paper：
代码/Code：https://github.com/qq456cvb/UKPGAN

DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos

论文/Paper：https://arxiv.org/abs/2203.03996
代码/Code：

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

论文/Paper：https://arxiv.org/abs/2203.03962
代码/Code：

Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon

论文/Paper：https://arxiv.org/abs/2203.03818
代码/Code：

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild

论文/Paper：https://arxiv.org/abs/2203.03800
代码/Code：https://github.com/deeplearning-wisc/stud

On Generalizing Beyond Domains in Cross-Domain Continual Learning

论文/Paper：https://arxiv.org/abs/2203.03970
代码/Code：

Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers

论文/Paper：https://arxiv.org/abs/2203.03814
代码/Code：

What Matters For Meta-Learning Vision Regression Tasks?

论文/Paper：https://arxiv.org/abs/2203.04905
代码/Code：

ChiTransformer:Towards Reliable Stereo from Cues

论文/Paper：https://arxiv.org/abs/2203.04554
代码/Code：

Dynamic Dual-Output Diffusion Models

论文/Paper：https://arxiv.org/abs/2203.04304
代码/Code：

Spatial Commonsense Graph for Object Localisation in Partial Scenes

论文/Paper：https://arxiv.org/abs/2203.05380
代码/Code：https://fgiuliari.github.io/projects/SpatialCommonsenseGraph/

Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack

论文/Paper：https://arxiv.org/abs/2203.05154
代码/Code：https://github.com/liuye6666/adaptive_auto_attack

Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity

论文/Paper：https://arxiv.org/abs/2203.05151
代码/Code：

REX: Reasoning-aware and Grounded Explanation

论文/Paper：https://arxiv.org/abs/2203.06107
代码/Code：

FLAG: Flow-based 3D Avatar Generation from Sparse Observations

论文/Paper：https://arxiv.org/abs/2203.05789
代码/Code：

Learning Distinctive Margin toward Active Domain Adaptation

论文/Paper：https://arxiv.org/abs/2203.05738
代码/Code：https://github.com/TencentYoutuResearch/ActiveLearning-SDM

Active Learning by Feature Mixing

论文/Paper：https://arxiv.org/abs/2203.07034
代码/Code：

UniVIP: A Unified Framework for Self-Supervised Visual Pre-training

论文/Paper：https://arxiv.org/abs/2203.06965
代码/Code：

Forward Compatible Few-Shot Class-Incremental Learning

论文/Paper：https://arxiv.org/abs/2203.06953
代码/Code：https://github.com/zhoudw-zdw/CVPR22-Fact

XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding

论文/Paper：https://arxiv.org/abs/2203.06947
代码/Code：

Accelerating DETR Convergence via Semantic-Aligned Matching

论文/Paper：https://arxiv.org/abs/2203.06883
代码/Code：https://github.com/ZhangGongjie/SAM-DETR

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation

论文/Paper：https://arxiv.org/abs/2203.06811
代码/Code：

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs

论文/Paper：https://arxiv.org/abs/2203.06717
代码/Code：https://github.com/megvii-research/RepLKNet

LAS-AT: Adversarial Training with Learnable Attack Strategy

论文/Paper：https://arxiv.org/abs/2203.06616
代码/Code：https://github.com/jiaxiaojunQAQ/LAS-AT

Depth-Aware Generative Adversarial Network for Talking Head Video Generation

论文/Paper：https://arxiv.org/abs/2203.06605
代码/Code：https://github.com/harlanhong/CVPR2022-DaGAN

AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation

论文/Paper：https://arxiv.org/abs/2203.06558
代码/Code：

Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning

论文/Paper：https://arxiv.org/abs/2203.06541
代码/Code：https://github.com/Jiahao-UTS/SLPT-master

Implicit Feature Decoupling with Depthwise Quantization

论文/Paper：https://arxiv.org/abs/2203.08080
代码/Code：

Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs

论文/Paper：https://arxiv.org/abs/2203.07808
代码/Code：

Learning What Not to Segment: A New Perspective on Few-Shot Segmentation

论文/Paper：https://arxiv.org/abs/2203.07615
代码/Code：https://github.com/chunbolang/BAM

Can Neural Nets Learn the Same Mode

l Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective

论文/Paper：https://arxiv.org/abs/2203.08124
代码/Code：https://github.com/somepago/dbViz

Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels

论文/Paper：https://arxiv.org/abs/2203.07788
代码/Code：https://github.com/Yikai-Wang/SPR-LNL

Deep vanishing point detection: Geometric priors make dataset variations vanish

论文/Paper：https://arxiv.org/abs/2203.08586
代码/Code：https://github.com/yanconglin/VanishingPoint_HoughTransform_GaussianSphere

Non-isotropy Regularization for Proxy-based Deep Metric Learning

论文/Paper：https://arxiv.org/abs/2203.08563
代码/Code：https://github.com/ExplainableML/NonIsotropicProxyDML

Integrating Language Guidance into Vision-based Deep Metric Learning

论文/Paper：https://arxiv.org/abs/2203.08543
代码/Code：https://github.com/ExplainableML/LanguageGuidance_for_DML

Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding

论文/Paper：https://arxiv.org/abs/2203.08481
代码/Code：https://github.com/LeapLabTHU/Pseudo-Q

The Devil Is in the Details: Window-based Attention for Image Compression

论文/Paper：https://arxiv.org/abs/2203.08450
代码/Code：https://github.com/Googolxx/STF

Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting

论文/Paper：https://arxiv.org/abs/2203.08354
代码/Code：https://github.com/flyinglynx/Bilinear-Matching-Network

Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks

论文/Paper：https://arxiv.org/abs/2203.09446
代码/Code：

Bi-directional Object-context Prioritization Learning for Saliency Ranking

论文/Paper：https://arxiv.org/abs/2203.09416
代码/Code：https://github.com/GrassBro/OCOR

Object Localization under Single Coarse Point Supervision

论文/Paper：https://arxiv.org/abs/2203.09338
代码/Code：https://github.com/ucas-vg/PointTinyBenchmark/

Neural Compression-Based Feature Learning for Video Restoration

论文/Paper：https://arxiv.org/abs/2203.09208
代码/Code：

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

论文/Paper：https://arxiv.org/abs/2203.09138
代码/Code：https://github.com/AndersonStra/MuKEA

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input

论文/Paper：https://arxiv.org/abs/2203.09123
代码/Code：https://github.com/dreamflake/ODI

DATA: Domain-Aware and Task-Aware Pre-training

论文/Paper：https://arxiv.org/abs/2203.09041
代码/Code：https://github.com/GAIA-vision/GAIA-ssl

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

论文/Paper：https://arxiv.org/abs/2203.09249
代码/Code：

Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning

论文/Paper：https://arxiv.org/abs/2203.09137
代码/Code：https://github.com/YiteWang/MetaNTK-NAS

Learning Affordance Grounding from Exocentric Images

论文/Paper: http://arxiv.org/pdf/2203.09905
代码/Code: https://github.com/lhc1224/cross-view-affordance-grounding

DTA: Physical Camouflage Attacks using Differentiable Transformation Network

论文/Paper: http://arxiv.org/pdf/2203.09831
代码/Code: None

Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?

论文/Paper: http://arxiv.org/pdf/2203.09824
代码/Code: None

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

论文/Paper: http://arxiv.org/abs/2203.10887
代码/Code: None

ViM: Out-Of-Distribution with Virtual-logit Matching

论文/Paper: http://arxiv.org/abs/2203.10807
代码/Code: None

Delving into the Estimation Shift of Batch Normalization in a Network

论文/Paper: http://arxiv.org/abs/2203.10778
代码/Code: None

Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light

论文/Paper: http://arxiv.org/abs/2203.10493
代码/Code: None

TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing

论文/Paper: http://arxiv.org/abs/2203.10489
代码/Code: None

Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data

论文/Paper: http://arxiv.org/abs/2203.10474
代码/Code: None

Discovering Objects that Can Move

论文/Paper: http://arxiv.org/abs/2203.10159
代码/Code: None

φ-SfT: Shape-from-Template with a Physics-Based Deformation Model

论文/Paper: http://arxiv.org/abs/2203.11938
代码/Code: None

Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation

论文/Paper: http://arxiv.org/abs/2203.11483
代码/Code: None

Mixed Differential Privacy in Computer Vision

论文/Paper: http://arxiv.org/abs/2203.11481
代码/Code: None

Global Matching with Overlapping Attention for Optical Flow Estimation

论文/Paper: http://arxiv.org/abs/2203.11335
代码/Code: None

DR.VIC: Decomposition and Reasoning for Video Individual Counting

论文/Paper: http://arxiv.org/abs/2203.12335
代码/Code: https://github.com/taohan10200/drnet

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

论文/Paper: http://arxiv.org/abs/2203.12081
代码/Code:https://github.com/hrzhang1123/DTFD-MIL

Efficient Translation Variant Convolution for Layout-aware Visual Processing

论文/Paper：http://arxiv.org/abs/2203.10489
代码/Code：https://github.com/JierunChen/TVConv

Moving Window Regression: A Novel Approach to Ordinal Regression

论文/Paper: http://arxiv.org/abs/2203.13122
代码/Code: None

Egocentric Prediction of Action Target in 3D

论文/Paper: http://arxiv.org/abs/2203.13116
代码/Code: None

Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction

论文/Paper: http://arxiv.org/abs/2203.12997
代码/Code: None

Neural Reflectance for Shape Recovery with Shadow Handling

论文/Paper: http://arxiv.org/abs/2203.12909
代码/Code: None

DyRep: Bootstrapping Training with Dynamic Re-parameterization

论文/Paper: http://arxiv.org/abs/2203.12868
代码/Code: None

Multidimensional Belief Quantification for Label-Efficient Meta-Learning

论文/Paper: http://arxiv.org/abs/2203.12768
代码/Code: None

Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness

论文/Paper: http://arxiv.org/pdf/2203.13639
代码/Code: None

Unsupervised Pre-training for Temporal Action Localization Tasks

论文/Paper: http://arxiv.org/pdf/2203.13609
代码/Code: None

Continual Test-Time Domain Adaptation

论文/Paper: http://arxiv.org/pdf/2203.13591
代码/Code: None

Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes

论文/Paper: http://arxiv.org/pdf/2203.13412
代码/Code: None

NPBG++: Accelerating Neural Point-Based Graphics

论文/Paper: http://arxiv.org/pdf/2203.13318
代码/Code: None

Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos

论文/Paper: http://arxiv.org/pdf/2203.13309
代码/Code: None

Probing Representation Forgetting in Supervised and Unsupervised Continual Learning

论文/Paper: http://arxiv.org/pdf/2203.13381
代码/Code: None

Energy-based Latent Aligner for Incremental Learning

论文/Paper: http://arxiv.org/abs/2203.14952
代码/Code: None

Controllable Dynamic Multi-Task Architectures

论文/Paper: http://arxiv.org/abs/2203.14949
代码/Code: None

Attributable Visual Similarity Learning

论文/Paper: http://arxiv.org/abs/2203.14932
代码/Code: None

Learning Where to Learn in Cross-View Self-Supervised Learning

论文/Paper: http://arxiv.org/abs/2203.14898
代码/Code: None

Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

论文/Paper: http://arxiv.org/abs/2203.14843
代码/Code: None

Partially Does It: Towards Scene-Level FG-SBIR with Partial Input

论文/Paper: http://arxiv.org/abs/2203.14804
代码/Code: None

Bi-level Doubly Variational Learning for Energy-based Latent Variable Models

论文/Paper: http://arxiv.org/abs/2203.14702
代码/Code: None

Sketch3T: Test-Time Training for Zero-Shot SBIR

论文/Paper: http://arxiv.org/abs/2203.14691
代码/Code: None

Brain-inspired Multilayer Perceptron with Spiking Neurons

论文/Paper: http://arxiv.org/abs/2203.14679
代码/Code: None

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

论文/Paper: http://arxiv.org/abs/2203.14506
代码/Code: None

NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge

论文/Paper: http://arxiv.org/abs/2203.14499
代码/Code: None

ARCS: Accurate Rotation and Correspondence Search

论文/Paper: http://arxiv.org/abs/2203.14493
代码/Code: None

iPLAN: Interactive and Procedural Layout Planning

论文/Paper: http://arxiv.org/abs/2203.14412
代码/Code: None

Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning

论文/Paper: http://arxiv.org/abs/2203.14333
代码/Code: None

Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation

论文/Paper: http://arxiv.org/abs/2203.14327
代码/Code: None

Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships

论文/Paper: http://arxiv.org/abs/2203.14260
代码/Code: None

Knowledge Mining with Scene Text for Fine-Grained Recognition

论文/Paper: http://arxiv.org/abs/2203.14215
代码/Code: None

Long-Tailed Recognition via Weight Balancing

论文/Paper: http://arxiv.org/abs/2203.14197
代码/Code: None

HINT: Hierarchical Neuron Concept Explainer

论文/Paper: http://arxiv.org/abs/2203.14196
代码/Code: None

Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos

论文/Paper: http://arxiv.org/abs/2203.14104
代码/Code: None

Learning to Answer Questions in Dynamic Audio-Visual Scenarios

论文/Paper: http://arxiv.org/abs/2203.14072
代码/Code: None

Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture

论文/Paper: http://arxiv.org/abs/2203.14065
代码/Code: None

Visual Abductive Reasoning

论文/Paper: http://arxiv.org/abs/2203.14040
代码/Code: None

RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

论文/Paper: http://arxiv.org/abs/2203.13993
代码/Code: None

GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection

论文/Paper: http://arxiv.org/abs/2203.13954
代码/Code: None

Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection

论文/Paper: http://arxiv.org/abs/2203.13903
代码/Code: None

Causality Inspired Representation Learning for Domain Generalization

论文/Paper: http://arxiv.org/abs/2203.14237
代码/Code: None

Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution

论文/Paper: http://arxiv.org/abs/2203.13963
代码/Code: None

CHEX: CHannel EXploration for CNN Model Compression

论文/Paper: http://arxiv.org/pdf/2203.15794
代码/Code: None

FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering

论文/Paper: http://arxiv.org/pdf/2203.15765
代码/Code: None

EnvEdit: Environment Editing for Vision-and-Language Navigation

论文/Paper: http://arxiv.org/pdf/2203.15685
代码/Code: None

Exploring Frequency Adversarial Attacks for Face Forgery Detection

论文/Paper: http://arxiv.org/pdf/2203.15674
代码/Code: None

BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information

论文/Paper: http://arxiv.org/pdf/2203.15536
代码/Code: None

Learning Structured Gaussians to Approximate Deep Ensembles

论文/Paper: http://arxiv.org/pdf/2203.15485
代码/Code: None

Quantifying Societal Bias Amplification in Image Captioning

论文/Paper: http://arxiv.org/pdf/2203.15395
代码/Code: None

Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification

论文/Paper: http://arxiv.org/pdf/2203.15381
代码/Code: https://github.com/ShipuLoveMili/CVPR2022-AURL

Self-Supervised Image Representation Learning with Geometric Set Consistency

论文/Paper: http://arxiv.org/pdf/2203.15361
代码/Code: None

Nested Collaborative Learning for Long-Tailed Visual Recognition

论文/Paper: http://arxiv.org/pdf/2203.15359
代码/Code: None

Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries

论文/Paper: http://arxiv.org/pdf/2203.15355
代码/Code: None

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters

论文/Paper: http://arxiv.org/pdf/2203.15331
代码/Code: None

Dressing in the Wild by Watching Dance Videos

论文/Paper: http://arxiv.org/pdf/2203.15320
代码/Code: None

Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation

论文/Paper: http://arxiv.org/pdf/2203.15259
代码/Code: None

Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian

论文/Paper: http://arxiv.org/pdf/2203.15235
代码/Code: None

Zero-Query Transfer Attacks on Context-Aware Object Detectors

论文/Paper: http://arxiv.org/pdf/2203.15230
代码/Code: None

ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization

论文/Paper: http://arxiv.org/pdf/2203.15187
代码/Code: None

Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images

论文/Paper: http://arxiv.org/pdf/2203.15007
代码/Code: None

Clean Implicit 3D Structure from Noisy 2D STEM Images

论文/Paper: http://arxiv.org/pdf/2203.15434
代码/Code: None

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets

论文/Paper: http://arxiv.org/pdf/2203.15234
代码/Code: None

Large-Scale Pre-training for Person Re-identification with Noisy Labels

论文/Paper: http://arxiv.org/pdf/2203.16533
代码/Code: https://github.com/dengpanfu/luperson-nl

Understanding 3D Object Articulation in Internet Videos

论文/Paper: http://arxiv.org/pdf/2203.16531
代码/Code: None

CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism

论文/Paper: http://arxiv.org/pdf/2203.16529
代码/Code: None

Unseen Classes at a Later Time? No Problem

论文/Paper: http://arxiv.org/pdf/2203.16517
代码/Code: https://github.com/sumitramalagi/unseen-classes-at-a-later-time

Fast Light-Weight Near-Field Photometric Stereo

论文/Paper: http://arxiv.org/pdf/2203.16515
代码/Code: None

AdaMixer: A Fast-Converging Query-Based Object Detector

论文/Paper: http://arxiv.org/pdf/2203.16507
代码/Code: https://github.com/mcg-nju/adamixer

Fast, Accurate and Memory-Efficient Partial Permutation Synchronization

论文/Paper: http://arxiv.org/pdf/2203.16505
代码/Code: None

Balanced MSE for Imbalanced Visual Regression

论文/Paper: http://arxiv.org/pdf/2203.16427
代码/Code: None

Multi-Robot Active Mapping via Neural Bipartite Graph Matching

论文/Paper: http://arxiv.org/pdf/2203.16319
代码/Code: None

Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data

论文/Paper: http://arxiv.org/pdf/2203.16258
代码/Code: https://github.com/valeoai/slidr

FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing

论文/Paper: http://arxiv.org/pdf/2203.16168
代码/Code: None

STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction

论文/Paper: http://arxiv.org/pdf/2203.16084
代码/Code: None

Learning Program Representations for Food Images and Cooking Recipes

论文/Paper: http://arxiv.org/pdf/2203.16071
代码/Code: None

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval

论文/Paper: http://arxiv.org/pdf/2203.16062
代码/Code: None

Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction

论文/Paper: http://arxiv.org/pdf/2203.16051
代码/Code: None

Iterative Deep Homography Estimation

论文/Paper: http://arxiv.org/pdf/2203.15982
代码/Code: https://github.com/imdumpl78/ihn

PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation

论文/Paper: http://arxiv.org/pdf/2203.15965
代码/Code: None

Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images

论文/Paper: http://arxiv.org/pdf/2203.15926
代码/Code: None

Learning to Detect Mobile Objects from LiDAR Scans Without Labels

论文/Paper: http://arxiv.org/pdf/2203.15882
代码/Code: https://github.com/yurongyou/modest

Proactive Image Manipulation Detection

论文/Paper: http://arxiv.org/pdf/2203.15880
代码/Code: https://github.com/vishal3477/proactive_imd

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models

论文/Paper: http://arxiv.org/pdf/2203.15859
代码/Code: https://github.com/seekingdream/nicgslowdown

Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain

论文/Paper: http://arxiv.org/pdf/2203.16357
代码/Code: None

Bringing Old Films Back to Life

论文/Paper: http://arxiv.org/pdf/2203.17276
代码/Code: https://github.com/raywzy/Bringing-Old-Films-Back-to-Life

Generating High Fidelity Data from Low-density Regions using Diffusion Models

论文/Paper: http://arxiv.org/pdf/2203.17260
代码/Code: None

Continuous Scene Representations for Embodied AI

论文/Paper: http://arxiv.org/pdf/2203.17251
代码/Code: None

SimVQA: Exploring Simulated Environments for Visual Question Answering

论文/Paper: http://arxiv.org/pdf/2203.17219
代码/Code: None

Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy

论文/Paper: http://arxiv.org/pdf/2203.17205
代码/Code: None

AEGNN: Asynchronous Event-based Graph Neural Networks

论文/Paper: http://arxiv.org/pdf/2203.17149
代码/Code: None

It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher

论文/Paper: http://arxiv.org/pdf/2203.17008
代码/Code: None

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond

论文/Paper: http://arxiv.org/pdf/2203.16931
代码/Code: None

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

论文/Paper: http://arxiv.org/pdf/2203.16910
代码/Code: None

Reflection and Rotation Symmetry Detection via Equivariant Learning

论文/Paper: http://arxiv.org/pdf/2203.16787
代码/Code: None

Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models

论文/Paper: http://arxiv.org/pdf/2203.16755
代码/Code: None

Personalized Image Aesthetics Assessment with Rich Attributes

论文/Paper: http://arxiv.org/pdf/2203.16754
代码/Code: None

Constrained Few-shot Class-incremental Learning

论文/Paper: http://arxiv.org/pdf/2203.16588
代码/Code: None

Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation

论文/Paper: http://arxiv.org/pdf/2203.16586
代码/Code: None

Exploiting Explainable Metrics for Augmented SGD

论文/Paper: http://arxiv.org/pdf/2203.16723
代码/Code: None

Task Adaptive Parameter Sharing for Multi-Task Learning

论文/Paper: http://arxiv.org/pdf/2203.16708
代码/Code: None

D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions

论文/Paper: http://arxiv.org/pdf/2112.03028
代码/Code: None

On the Importance of Asymmetry for Siamese Representation Learning

论文/Paper: http://arxiv.org/pdf/2204.00613
代码/Code: https://github.com/facebookresearch/asym-siam

DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow

论文/Paper: http://arxiv.org/pdf/2204.00330
代码/Code: https://github.com/zihuazheng/dip

Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression

论文/Paper: http://arxiv.org/pdf/2204.00309
代码/Code: None

Perception Prioritized Training of Diffusion Models

论文/Paper: http://arxiv.org/pdf/2204.00227
代码/Code: https://github.com/jychoi118/p2-weighting

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization

论文/Paper: http://arxiv.org/pdf/2204.00220
代码/Code: None

GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature

论文/Paper: http://arxiv.org/pdf/2204.00179
代码/Code: https://github.com/spadeliu/graft-psmnet

LASER: LAtent SpacE Rendering for 2D Visual Localization

论文/Paper: http://arxiv.org/pdf/2204.00157

代码/Code: None

TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization

论文/Paper: http://arxiv.org/pdf/2204.00097
代码/Code: https://github.com/jeff-zilence/transgeo2022

Investigating Top-$k$ White-Box and Transferable Black-box Attack

论文/Paper: http://arxiv.org/pdf/2204.00089
代码/Code: None

Efficient Maximal Coding Rate Reduction by Variational Forms

论文/Paper: http://arxiv.org/pdf/2204.00077
代码/Code: None

Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos

论文/Paper: http://arxiv.org/pdf/2204.01696
代码/Code: None

LISA: Learning Implicit Shape and Appearance of Hands

论文/Paper: http://arxiv.org/pdf/2204.01695
代码/Code: None

Exemplar-bsaed Pattern Synthesis with Implicit Periodic Field Network

论文/Paper: http://arxiv.org/pdf/2204.01671
代码/Code: None

Degradation-agnostic Correspondence from Resolution-asymmetric Stereo

论文/Paper: http://arxiv.org/pdf/2204.01429
代码/Code: None

RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo

论文/Paper: http://arxiv.org/pdf/2204.01320
代码/Code: None

Exploiting Temporal Relations on Radar Perception for Autonomous Driving

论文/Paper: http://arxiv.org/pdf/2204.01184
代码/Code: None

BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion

论文/Paper: http://arxiv.org/pdf/2204.01139
代码/Code: None

Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature

论文/Paper: http://arxiv.org/pdf/2204.00974
代码/Code: https://github.com/lightchaserx/neural-global-shutter

DST: Dynamic Substitute Training for Data-free Black-box Attack

论文/Paper: http://arxiv.org/pdf/2204.00972
代码/Code: None

Progressive Minimal Path Method with Embedded CNN

论文/Paper: http://arxiv.org/pdf/2204.00944
代码/Code: None

Online Convolutional Re-parameterization

论文/Paper: http://arxiv.org/pdf/2204.00826
代码/Code: None

SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks

论文/Paper: http://arxiv.org/pdf/2204.00644
代码/Code: None

Rethinking Visual Geo-localization for Large-Scale Applications

论文/Paper: http://arxiv.org/pdf/2204.02287
代码/Code: None

IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images

论文/Paper: http://arxiv.org/pdf/2204.02232
代码/Code: None

SNUG: Self-Supervised Neural Dynamic Garments

论文/Paper: http://arxiv.org/pdf/2204.02219
代码/Code: None

Leveraging Equivariant Features for Absolute Pose Regression

论文/Paper: http://arxiv.org/pdf/2204.02163
代码/Code: None

MonoTrack: Shuttle trajectory reconstruction from monocular badminton video

论文/Paper: http://arxiv.org/pdf/2204.01899
代码/Code: None

Revisiting Near/Remote Sensing with Geospatial Attention

论文/Paper: http://arxiv.org/pdf/2204.01807
代码/Code: None

Temporal Alignment Networks for Long-term Video

论文/Paper: http://arxiv.org/pdf/2204.02968
代码/Code: None

"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

论文/Paper: http://arxiv.org/pdf/2204.02944
代码/Code: None

Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network

论文/Paper: http://arxiv.org/pdf/2204.02738
代码/Code: None

Aesthetic Text Logo Synthesis via Content-aware Layout Inferring

论文/Paper: http://arxiv.org/pdf/2204.02701
代码/Code: https://github.com/yizhiwang96/TextLogoLayout

Learning to Anticipate Future with Dynamic Context Removal

论文/Paper: http://arxiv.org/pdf/2204.02587
代码/Code: https://github.com/AllenXuuu/DCR.

SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference

论文/Paper: http://arxiv.org/pdf/2204.02585
代码/Code: None

Gait Recognition in the Wild with Dense 3D Representations and A Benchmark

论文/Paper: http://arxiv.org/pdf/2204.02569
代码/Code: None

MixFormer: Mixing Features across Windows and Dimensions

论文/Paper: http://arxiv.org/pdf/2204.02557
代码/Code: https://github.com/PaddlePaddle/PaddleClas

RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection

论文/Paper: http://arxiv.org/pdf/2204.02553
代码/Code: None

Adversarial Robustness through the Lens of Convolutional Filters

论文/Paper: http://arxiv.org/pdf/2204.02481
代码/Code: website: https://github.com/paulgavrikov/cvpr22w_RobustnessThroughTheLens

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks

论文/Paper: http://arxiv.org/pdf/2204.02480
代码/Code: None

Total Variation Optimization Layers for Computer Vision

论文/Paper: http://arxiv.org/pdf/2204.03643
代码/Code: https://github.com/raymondyeh07/tv_layers_for_cv

Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction

论文/Paper: http://arxiv.org/pdf/2204.03642
代码/Code: None

Class-Incremental Learning with Strong Pre-trained Models

论文/Paper: http://arxiv.org/pdf/2204.03634
代码/Code: None

AutoRF: Learning 3D Object Radiance Fields from Single View Observations

论文/Paper: http://arxiv.org/pdf/2204.03593
代码/Code: None

Deep Visual Geo-localization Benchmark

论文/Paper: http://arxiv.org/pdf/2204.03444
代码/Code: None

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

论文/Paper: http://arxiv.org/pdf/2204.03162
代码/Code: None

UIGR: Unified Interactive Garment Retrieval

论文/Paper: http://arxiv.org/pdf/2204.03111
代码/Code: https://github.com/brandonhanx/compfashion

AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis

论文/Paper: http://arxiv.org/pdf/2204.03105
代码/Code: None

Hierarchical Self-supervised Representation Learning for Movie Understanding

论文/Paper: http://arxiv.org/pdf/2204.03101
代码/Code: None

Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency

论文/Paper: http://arxiv.org/pdf/2204.03017
代码/Code: None

Multi-Scale Memory-Based Video Deblurring

论文/Paper: http://arxiv.org/pdf/2204.02977
代码/Code: https://github.com/jibo27/memdeblur

Gravitationally Lensed Black Hole Emission Tomography

论文/Paper: http://arxiv.org/abs/2204.03715
代码/Code: None

General Incremental Learning with Domain-aware Categorical Representations

论文/Paper: http://arxiv.org/abs/2204.04078
代码/Code: None

Identifying Ambiguous Similarity Conditions via Semantic Matching

论文/Paper: http://arxiv.org/abs/2204.04053
代码/Code: None

Does Robustness on ImageNet Transfer to Downstream Tasks?

论文/Paper: http://arxiv.org/abs/2204.03934
代码/Code: None

Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection

论文/Paper: http://arxiv.org/abs/2204.03929
代码/Code: None

CD$^2$-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning

论文/Paper: http://arxiv.org/abs/2204.03880
代码/Code: None

Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation

论文/Paper: http://arxiv.org/abs/2204.03838
代码/Code: https://github.com/xiaoachen98/DALN

TorMentor: Deterministic dynamic-path, data augmentations with fractals

论文/Paper: http://arxiv.org/abs/2204.03776
代码/Code: None

TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates

论文/Paper: http://arxiv.org/abs/2204.03671
代码/Code: None

Single-Photon Structured Light

论文/Paper: http://arxiv.org/pdf/2204.05300
代码/Code: None

Pyramid Grafting Network for One-Stage High Resolution Saliency Detection

论文/Paper: http://arxiv.org/pdf/2204.05041
代码/Code: None

Structure-Aware Motion Transfer with Deformable Anchor Model

论文/Paper: http://arxiv.org/pdf/2204.05018
代码/Code: None

Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog

论文/Paper: http://arxiv.org/pdf/2204.04680
代码/Code: None

NAN: Noise-Aware NeRFs for Burst-Denoising

论文/Paper: http://arxiv.org/pdf/2204.04668
代码/Code: None

Learning Pixel-Level Distinctions for Video Highlight Detection

论文/Paper: http://arxiv.org/pdf/2204.04615
代码/Code: None

Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention

论文/Paper: http://arxiv.org/pdf/2204.04601
代码/Code: None

DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides

论文/Paper: http://arxiv.org/pdf/2204.04494
代码/Code: None

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation

论文/Paper: http://arxiv.org/pdf/2204.04428
代码/Code: None

FedCorr: Multi-Stage Federated Learning for Label Noise Correction

论文/Paper: http://arxiv.org/pdf/2204.04677
代码/Code: https://github.com/Xu-Jingyi/FedCorr

Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning

论文/Paper: http://arxiv.org/pdf/2204.04424
代码/Code: None

The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization

论文/Paper: http://arxiv.org/pdf/2204.04384
代码/Code: None

Continual Predictive Learning from Videos

论文/Paper: http://arxiv.org/pdf/2204.05624
代码/Code: https://github.com/jc043/CPL

Few-shot Learning with Noisy Labels

论文/Paper: http://arxiv.org/pdf/2204.05494
代码/Code: None

Out-Of-Distribution Detection In Unsupervised Continual Learning

论文/Paper: http://arxiv.org/pdf/2204.05462
代码/Code: None

Generalizing Adversarial Explanations with Grad-CAM

论文/Paper: http://arxiv.org/pdf/2204.05427
代码/Code: None

Recognition of Freely Selected Keypoints on Human Limbs

论文/Paper: http://arxiv.org/pdf/2204.06326
代码/Code: None

3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection

论文/Paper: http://arxiv.org/pdf/2204.06272
代码/Code: None

Defensive Patches for Robust Recognition in the Physical World

论文/Paper: http://arxiv.org/pdf/2204.06213
代码/Code: https://github.com/nlsde-safety-team/DefensivePatch

COAP: Compositional Articulated Occupancy of People

论文/Paper: http://arxiv.org/pdf/2204.06184
代码/Code: None

What's in your hands? 3D Reconstruction of Generic Objects in Hands

论文/Paper: http://arxiv.org/pdf/2204.07153
代码/Code: None

GIFS: Neural Implicit Function for General Shape Representation

论文/Paper: http://arxiv.org/pdf/2204.07126
代码/Code: None

The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark

论文/Paper: http://arxiv.org/pdf/2204.06972
代码/Code: None

Semi-Supervised Training to Improve Player and Ball Detection in Soccer

论文/Paper: http://arxiv.org/pdf/2204.06859
代码/Code: https://github.com/rvandeghen/SST

Pyramidal Attention for Saliency Detection

论文/Paper: http://arxiv.org/pdf/2204.06788
代码/Code: https://github.com/tanveer-hussain/EfficientSOD2

OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data

论文/Paper: http://arxiv.org/pdf/2204.06577
代码/Code: https://github.com/dschinagl/occam

Patch-wise Contrastive Style Learning for Instagram Filter Removal

论文/Paper: http://arxiv.org/pdf/2204.07486
代码/Code: None

Guiding Attention using Partial-Order Relationships for Image Captioning

论文/Paper: http://arxiv.org/pdf/2204.07476
代码/Code: None

MetaSets: Meta-Learning on Point Sets for Generalizable Representations

论文/Paper: http://arxiv.org/pdf/2204.07311
代码/Code: None

Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference

论文/Paper: http://arxiv.org/pdf/2204.07305
代码/Code: None

Imposing Consistency for Optical Flow Estimation

论文/Paper: http://arxiv.org/pdf/2204.07262
代码/Code: None

Measuring Compositional Consistency for Video Question Answering

论文/Paper: http://arxiv.org/pdf/2204.07190
代码/Code: None

Deep Equilibrium Optical Flow Estimation

论文/Paper: http://arxiv.org/pdf/2204.08442
代码/Code: None

Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation

论文/Paper: http://arxiv.org/pdf/2204.08271
代码/Code: None

OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval

论文/Paper: http://arxiv.org/pdf/2204.08209
代码/Code: https://github.com/dyhBUPT/OMG.

Towards a Deeper Understanding of Skeleton-based Gait Recognition

论文/Paper: http://arxiv.org/pdf/2204.07855
代码/Code: None

Interactiveness Field in Human-Object Interactions

论文/Paper: http://arxiv.org/pdf/2204.07718
代码/Code: https://github.com/Foruck/Interactiveness-Field.

It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection

论文/Paper: http://arxiv.org/pdf/2204.07660
代码/Code: None

Deep Unlearning via Randomized Conditionally Independent Hessians

论文/Paper: http://arxiv.org/pdf/2204.07655
代码/Code: https://github.com/vsingh-group/LCODEC-deep-unlearning

Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data

论文/Paper: http://arxiv.org/pdf/2204.08932
代码/Code: https://github.com/TOM-tym/Learn-to-Imagine

An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions

论文/Paper: http://arxiv.org/pdf/2204.08817
代码/Code: None

Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment

论文/Paper: http://arxiv.org/pdf/2204.08763
代码/Code: https://github.com/happycaoyue/JSPL

Self-Supervised Equivariant Learning for Oriented Keypoint Detection

论文/Paper: http://arxiv.org/pdf/2204.08613
代码/Code: None

GazeOnce: Real-Time Multi-Person Gaze Estimation

论文/Paper: http://arxiv.org/pdf/2204.09480
代码/Code: None

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation

论文/Paper: http://arxiv.org/pdf/2204.09389
代码/Code: None

Reinforced Structured State-Evolution for Vision-Language Navigation

论文/Paper: http://arxiv.org/pdf/2204.09280
代码/Code: None

SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics

论文/Paper: http://arxiv.org/pdf/2204.09320
代码/Code: None

A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement

论文/Paper: http://arxiv.org/pdf/2204.09308
代码/Code: None

Does Interference Exist When Training a Once-For-All Network?

论文/Paper: http://arxiv.org/pdf/2204.09210
代码/Code: https://github.com/Jordan-HS/RSS-Interference-CVPRW2022.

Importance is in your attention: agent importance prediction for autonomous driving

论文/Paper: http://arxiv.org/pdf/2204.09121
代码/Code: None

SelfD: Self-Learning Large-Scale Driving Policies From the Web

论文/Paper: http://arxiv.org/pdf/2204.10320
代码/Code: None

SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis

论文/Paper: http://arxiv.org/pdf/2204.10211
代码/Code: None

A case for using rotation invariant features in state of the art feature matchers

论文/Paper: http://arxiv.org/pdf/2204.10144
代码/Code: None

Toward Fast, Flexible, and Robust Low-Light Image Enhancement

论文/Paper: http://arxiv.org/pdf/2204.10137
代码/Code: https://github.com/vis-opt-group/SCI

OSSO: Obtaining Skeletal Shape from Outside

论文/Paper: http://arxiv.org/pdf/2204.10129
代码/Code: None

Is Neuron Coverage Needed to Make Person Detection More Robust?

论文/Paper: http://arxiv.org/pdf/2204.10027
代码/Code: None

Progressive Training of A Two-Stage Framework for Video Restoration

论文/Paper: http://arxiv.org/pdf/2204.09924
代码/Code: None

CNLL: A Semi-supervised Approach For Continual Noisy Label Learning

论文/Paper: http://arxiv.org/pdf/2204.09881
代码/Code: None

Persistent-Transient Duality in Human Behavior Modeling

论文/Paper: http://arxiv.org/pdf/2204.09875
代码/Code: None

Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images

论文/Paper: http://arxiv.org/pdf/2204.09854
代码/Code: https://github.com/TejasPanambur/mastcam

Exposure Correction Model to Enhance Image Quality

论文/Paper: http://arxiv.org/pdf/2204.10648
代码/Code: https://github.com/yamand16/exposurecorrection

Spacing Loss for Discovering Novel Categories

论文/Paper: http://arxiv.org/pdf/2204.10595
代码/Code: https://github.com/josephkj/awesome-novel-class-discovery

DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis

论文/Paper: http://arxiv.org/pdf/2204.10437
代码/Code: https://github.com/jlianglab/dira

The 6th AI City Challenge

论文/Paper: http://arxiv.org/pdf/2204.10380
代码/Code: None

Contrastive Test-Time Adaptation

论文/Paper: http://arxiv.org/pdf/2204.10377
代码/Code: None

Proto2Proto: Can you recognize the car, the way I do?

论文/Paper: http://arxiv.org/pdf/2204.11830
代码/Code: None

Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans

论文/Paper: http://arxiv.org/pdf/2204.11620
代码/Code: https://github.com/ekalinicheva/multi_layer_vegetation.

Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning

论文/Paper: http://arxiv.org/pdf/2204.11433
代码/Code: None

Can domain adaptation make object recognition work for everyone?

论文/Paper: http://arxiv.org/pdf/2204.11122
代码/Code: None

Investigating Neural Architectures by Synthetic Dataset Design

论文/Paper: http://arxiv.org/pdf/2204.11045
代码/Code: None

Revealing Occlusions with 4D Neural Fields

论文/Paper: http://arxiv.org/pdf/2204.10916
代码/Code: None

Identity Preserving Loss for Learned Image Compression

论文/Paper: http://arxiv.org/pdf/2204.10869
代码/Code: None

Towards Data-Free Model Stealing in a Hard Label Setting

论文/Paper: http://arxiv.org/pdf/2204.11022
代码/Code: None

Context-Aware Sequence Alignment using 4D Skeletal Augmentation

论文/Paper: http://arxiv.org/abs/2204.12223
代码/Code: None

Few-Shot Head Swapping in the Wild

论文/Paper: http://arxiv.org/pdf/2204.13100
代码/Code: None

Attention Consistency on Visual Corruptions for Single-Source Domain Generalization

论文/Paper: http://arxiv.org/pdf/2204.13091
代码/Code: None

Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution

论文/Paper: http://arxiv.org/pdf/2204.13062
代码/Code: None

A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching

论文/Paper: http://arxiv.org/pdf/2204.12805
代码/Code: http://github.com/paul0noah/sm-comb

Leveraging Unlabeled Data for Sketch-based Understanding

论文/Paper: http://arxiv.org/pdf/2204.12522
代码/Code: None

Towards assessing agricultural land suitability with causal machine learning

论文/Paper: http://arxiv.org/pdf/2204.12956
代码/Code: None

Conformer and Blind Noisy Students for Improved Image Quality Assessment

论文/Paper: http://arxiv.org/pdf/2204.12819
代码/Code: None

NeurMiPs: Neural Mixture of Planar Experts for View Synthesis

论文/Paper: http://arxiv.org/pdf/2204.13696
代码/Code: None

Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection

论文/Paper: http://arxiv.org/pdf/2204.13456
代码/Code: https://github.com/OLobbCode/NoiseLF.

A Challenging Benchmark of Anime Style Recognition

论文/Paper: http://arxiv.org/pdf/2204.14034
代码/Code: https://github.com/nkjcqvcpi/asr

AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement

论文/Paper: http://arxiv.org/pdf/2204.13983
代码/Code: https://github.com/ImCharlesY/AdaInt.

SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization

论文/Paper: http://arxiv.org/pdf/2204.13962
代码/Code: https://github.com/ychang686/scs-co

Learning Adaptive Warping for Real-World Rolling Shutter Correction

论文/Paper: http://arxiv.org/pdf/2204.13886
代码/Code: https://github.com/ljzycmd/bsrsc

Stability-driven Contact Reconstruction From Monocular Color Images

论文/Paper: http://arxiv.org/pdf/2205.00848
代码/Code: None

GPUNet: Searching the Deployable Convolution Neural Networks for GPUs

论文/Paper: http://arxiv.org/pdf/2205.00841
代码/Code: None

MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries

论文/Paper: http://arxiv.org/pdf/2205.00613
代码/Code: https://github.com/a1600012888/MUTR3D

LayoutBERT: Masked Language Layout Model for Object Insertion

论文/Paper: http://arxiv.org/pdf/2205.00347
代码/Code: None

Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning

论文/Paper: http://arxiv.org/pdf/2205.00272
代码/Code: https://github.com/yangli18/vltvg

Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator

论文/Paper: http://arxiv.org/pdf/2205.00146
代码/Code: None

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification

论文/Paper: http://arxiv.org/pdf/2205.02151
代码/Code: None

Self-Taught Metric Learning without Labels

论文/Paper: http://arxiv.org/pdf/2205.01903
代码/Code: None

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction

论文/Paper: http://arxiv.org/pdf/2205.02834
代码/Code: None

Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems

论文/Paper: http://arxiv.org/pdf/2205.02604
代码/Code: None

P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision

论文/Paper: http://arxiv.org/pdf/2205.02300
代码/Code: None

Prompt Distribution Learning

论文/Paper: http://arxiv.org/pdf/2205.03340
代码/Code: None

返回目录/back

参考：

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Metadata

CVPR2022-Papers-with-Code-Demo

:fireworks: 欢迎进群 | Welcome

:hammer: 目录 |Table of Contents（点击直接跳转）

Backbone

数据集/Dataset

NAS

Knowledge Distillation

多模态 / Multimodal

Contrastive Learning

图神经网络 / Graph Neural Networks

胶囊网络 / Capsule Network

图像分类 / Image Classification

目标检测/Object Detection

目标跟踪/Object Tracking

3D Object Tracking

轨迹预测/Trajectory Prediction

语义分割/Segmentation

弱监督语义分割/Weakly Supervised Semantic Segmentation

医学图像分割/Medical Image Segmentation

视频目标分割/Video Object Segmentation

交互式视频目标分割/Interactive Video Object Segmentation

Visual Transformer

深度估计/Depth Estimation

人脸识别/Face Recognition

人脸检测/Face Detection

人脸活体检测/Face Anti-Spoofing

人脸年龄估计/Age Estimation

人脸表情识别/Facial Expression Recognition

人脸属性识别/Facial Attribute Recognition

人脸编辑/Facial Editing

换脸/Face Swap

人体姿态估计/Human Pose Estimation

6D位姿估计 /6D Pose Estimation

手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery

视频动作检测/Video Action Detection

手语翻译/Sign Language Translation

3D人体重建/Person Reconstruction

行人重识别/Person Re-identification

行人搜索/Person Search

人群计数 / Crowd Counting

GAN

彩妆迁移 / Color-Pattern Makeup Transfer

字体生成 / Font Generation

OCR

文字图像处理（超分辨率增强、文字分割、文档版面分析）

场景文本检测、识别/Scene Text Detection/Recognition

端到端文字识别

手写文字分析与识别

其它（文档图像预训练模型，Text VQA、数据集，Retrieval , 应用）

图像、视频检索 / Image Retrieval/Video retrieval

Image Animation

抠图/Image Matting/Video Matting

超分辨率/Super Resolution

图像复原/Image Restoration

图像补全/Image Inpainting

图像去噪/Image Denoising

图像编辑/Image Editing

图像拼接/Image stitching

图像匹配/Image Matching

图像融合/Image Blending

图像去雾/Image Dehazing

图像压缩/Image Compression

反光去除/Reflection Removal

车道线检测/Lane Detection

自动驾驶 / Autonomous Driving

流体重建/Fluid Reconstruction

场景重建 / Scene Reconstruction

视频插帧/Frame Interpolation

视频超分 / Video Super-Resolution

3D点云/3D point cloud

标签噪声 Label-Noise

对抗样本 / Adversarial Examples

其他/Other

← Metadata

Owner

Metadata

CVPR2024-Papers-with-Code-Demo
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