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收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

ECCV2022-Papers-with-Code-Demo

收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

欢迎关注公众号：AI算法与图像处理

:star2: ECCV 2022 持续更新最新论文/paper和相应的开源代码/code！

:car: ECCV 2022 收录列表ID：https://ailb-web.ing.unimore.it/releases/eccv2022/accepted_papers.txt

:car: 官网链接：https://eccv2022.ecva.net

B站demo：https://space.bilibili.com/288489574

:hand: ​注：欢迎各位大佬提交issue，分享ECCV 2022论文/paper和开源项目！共同完善这个项目

往年顶会论文汇总：

CVPR2022

CVPR2021

ICCV2021

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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）
  • 数据集/Dataset
  • Image Classification
  • GAN
  • NeRF
  • Visual Transformer
  • 多模态/Multimodal
  • 对比学习/Contrastive Learning
  • 目标检测/Object Detection
  • 目标跟踪/Object Tracking
  • 语义分割/Segmentation
  • 医学图像分割/Medical Image Segmentation
  • Knowledge Distillation
  • Action Detection
  • Action Recognition
  • Anomaly Detection
  • 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
  • 人脸相关 / Face
  • 人体姿态估计/Human Pose Estimation
  • Human Reconstruction
  • Relighting
  • DeepFake
  • Text Recognition
  • 点云/Point Cloud
  • 光流估计/Flow Estimation
  • 深度估计/Depth Estimation
  • 车道线检测/Lane Detection
  • 轨迹预测/Trajectory Prediction
  • 超分/Super-Resolution
  • 图像去噪/Image Denoising
  • 图像去模糊/Image Deblurring
  • 图像复原/Image Restoration
  • 图像增强/Image Enhancement
  • 检索/Image Retrieval
  • 其他/Other

数据集/Dataset

COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts

  • 论文/Paper: http://arxiv.org/pdf/2207.04675
  • 代码/Code: https://github.com/ku21fan/COO-Comic-Onomatopoeia

Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset

  • 论文/Paper: http://arxiv.org/pdf/2207.10664
  • 代码/Code: https://github.com/visipedia/ssw60

BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis

  • 论文/Paper: http://arxiv.org/pdf/2207.10120
  • 代码/Code: https://github.com/dmoltisanti/brace

CelebV-HQ: A Large-Scale Video Facial Attributes Dataset

  • 论文/Paper: http://arxiv.org/pdf/2207.12393
  • 代码/Code: https://github.com/CelebV-HQ/CelebV-HQ

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions

  • 论文/Paper: http://arxiv.org/pdf/2208.01166
  • 代码/Code: None

返回目录/back

Image Classification

Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation

  • 论文/Paper: http://arxiv.org/pdf/2207.06989
  • 代码/Code: https://github.com/remiMZ/HTS-ECCV22

Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization

  • 论文/Paper: http://arxiv.org/pdf/2207.07818
  • 代码/Code: https://github.com/zh460045050/BagCAMs

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

  • 论文/Paper: http://arxiv.org/pdf/2207.09519
  • 代码/Code: https://github.com/gaopengcuhk/tip-adapter

Invariant Feature Learning for Generalized Long-Tailed Classification

  • 论文/Paper: http://arxiv.org/pdf/2207.09504
  • 代码/Code: https://github.com/kaihuatang/generalized-long-tailed-benchmarks.pytorch

RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos

  • 论文/Paper: http://arxiv.org/pdf/2207.11075
  • 代码/Code: https://github.com/megvii-research/RealFlow

返回目录/back

GAN

Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization

  • 论文/Paper: Waiting for official release
  • 代码/Code: https://github.com/Kaminyou/URUST

Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling

  • 论文/Paper: http://arxiv.org/abs/2207.02196
  • 代码/Code: https://github.com/fudan-zvg/pds

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer

  • 论文/Paper: http://arxiv.org/pdf/2207.04808
  • 代码/Code: https://github.com/JarrentWu1031/CCPL

Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis

  • 论文/Paper: http://arxiv.org/pdf/2207.05049
  • 代码/Code: https://github.com/fast-vid2vid/fast-vid2vid

RepMix: Representation Mixing for Robust Attribution of Synthesized Images

  • 论文/Paper: http://arxiv.org/abs/2207.02063
  • 代码/Code: https://github.com/tubui/image_attribution

VecGAN: Image-to-Image Translation with Interpretable Latent Directions

  • 论文/Paper: http://arxiv.org/pdf/2207.03411
  • 代码/Code: None

Context-Consistent Semantic Image Editing with Style-Preserved Modulation

  • 论文/Paper: http://arxiv.org/pdf/2207.06252
  • 代码/Code: https://github.com/wuyangluo/spmpgan

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

  • 论文/Paper: http://arxiv.org/pdf/2207.06124
  • 代码/Code: https://github.com/huage001/dynast

Supervised Attribute Information Removal and Reconstruction for Image Manipulation

  • 论文/Paper: http://arxiv.org/pdf/2207.06555
  • 代码/Code: https://github.com/nannanli999/airr

Name: Adaptive Feature Interpolation for Low-Shot Image Generation

  • 论文/Paper: https://arxiv.org/abs/2112.02450
  • 代码/Code: https://github.com/dzld00/Adaptive-Feature-Interpolation-for-Low-Shot-Image-Generation

WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation

  • 论文/Paper: http://arxiv.org/pdf/2207.07288
  • 代码/Code: Link:https://github.com/kobeshegu/ECCV2022_WaveGAN

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

  • 论文/Paper: http://arxiv.org/pdf/2207.08630
  • 代码/Code: https://github.com/iceli1007/FakeCLR

Outpainting by Queries

  • 论文/Paper: https://arxiv.org/abs/2207.05312
  • 代码/Code: https://github.com/Kaiseem/QueryOTR

Single Stage Virtual Try-on via Deformable Attention Flows

  • 论文/Paper: http://arxiv.org/pdf/2207.09161
  • 代码/Code: None

Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation

  • 论文/Paper: http://arxiv.org/pdf/2207.09019
  • 代码/Code: https://github.com/gerwang/facial-detail-manipulation

Monocular 3D Object Reconstruction with GAN Inversion

  • 论文/Paper: http://arxiv.org/pdf/2207.10061
  • 代码/Code: https://github.com/junzhezhang/mesh-inversion

Generative Multiplane Images: Making a 2D GAN 3D-Aware

  • 论文/Paper: http://arxiv.org/pdf/2207.10642
  • 代码/Code: https://github.com/apple/ml-gmpi

DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta

  • 论文/Paper: http://arxiv.org/pdf/2207.10271
  • 代码/Code: https://github.com/bcmi/deltagan-few-shot-image-generation

Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis

  • 论文/Paper: http://arxiv.org/pdf/2207.10257
  • 代码/Code: https://github.com/jgkwak95/surf-gan

SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.10256
  • 代码/Code: None

2D GANs Meet Unsupervised Single-view 3D Reconstruction

  • 论文/Paper: http://arxiv.org/pdf/2207.10183
  • 代码/Code: None

InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images

  • 论文/Paper: http://arxiv.org/pdf/2207.11148
  • 代码/Code: None

Auto-regressive Image Synthesis with Integrated Quantization

  • 论文/Paper: http://arxiv.org/pdf/2207.10776
  • 代码/Code: None

Compositional Human-Scene Interaction Synthesis with Semantic Control

  • 论文/Paper: http://arxiv.org/pdf/2207.12824
  • 代码/Code: https://github.com/zkf1997/coins

Generator Knows What Discriminator Should Learn in Unconditional GANs

  • 论文/Paper: http://arxiv.org/pdf/2207.13320
  • 代码/Code: https://github.com/naver-ai/GGDR

StyleLight: HDR Panorama Generation for Lighting Estimation and Editing

  • 论文/Paper: http://arxiv.org/pdf/2207.14811
  • 代码/Code: https://github.com/Wanggcong/StyleLight

Cross Attention Based Style Distribution for Controllable Person Image Synthesis

  • 论文/Paper: http://arxiv.org/pdf/2208.00712
  • 代码/Code: None

返回目录/back

NeRF

Streamable Neural Fields

  • 论文/Paper: http://arxiv.org/pdf/2207.09663
  • 代码/Code: https://github.com/jwcho5576/streamable_nf

Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis

  • 论文/Paper: http://arxiv.org/pdf/2207.10257
  • 代码/Code: https://github.com/jgkwak95/surf-gan

AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields

  • 论文/Paper: http://arxiv.org/pdf/2207.10312
  • 代码/Code: None

PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo

  • 论文/Paper: http://arxiv.org/pdf/2207.11406
  • 代码/Code: None

Neural-Sim: Learning to Generate Training Data with NeRF

  • 论文/Paper: http://arxiv.org/pdf/2207.11368
  • 代码/Code: None

Neural Density-Distance Fields

  • 论文/Paper: http://arxiv.org/pdf/2207.14455
  • 代码/Code: https://github.com/ueda0319/neddf

返回目录/back

Visual Transformer

k-means Mask Transformer

  • 论文/Paper: http://arxiv.org/pdf/2207.04044
  • 代码/Code: https://github.com/google-research/deeplab2

Weakly Supervised Grounding for VQA in Vision-Language Transformers

  • 论文/Paper: http://arxiv.org/pdf/2207.02334
  • 代码/Code: https://github.com/aurooj/wsg-vqa-vltransformers

Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.04978
  • 代码/Code: https://github.com/YehLi/ImageNetModel

CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.04410
  • 代码/Code: https://github.com/Green-Wood/CoMER

Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.05293
  • 代码/Code: https://github.com/MuchHair/HQM

Hunting Group Clues with Transformers for Social Group Activity Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.05254
  • 代码/Code: None

Entry-Flipped Transformer for Inference and Prediction of Participant Behavior

  • 论文/Paper: http://arxiv.org/pdf/2207.06235
  • 代码/Code: None

DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation

  • 论文/Paper: http://arxiv.org/pdf/2207.06124
  • 代码/Code: https://github.com/huage001/dynast

Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.06101
  • 代码/Code: https://github.com/boeun-kim/gl-transformer

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers

  • 论文/Paper: http://arxiv.org/pdf/2207.08409
  • 代码/Code: https://github.com/Sense-X/TokenMix

TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval

  • 论文/Paper: http://arxiv.org/pdf/2207.07852
  • 代码/Code: None

Action Quality Assessment with Temporal Parsing Transformer

  • 论文/Paper: http://arxiv.org/pdf/2207.09270
  • 代码/Code: None

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

  • 论文/Paper: http://arxiv.org/pdf/2207.09666
  • 代码/Code: https://github.com/davidnvq/grit

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.09644
  • 代码/Code: None

AiATrack: Attention in Attention for Transformer Visual Tracking

  • 论文/Paper: http://arxiv.org/pdf/2207.09603
  • 代码/Code: https://github.com/Little-Podi/AiATrack

Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model

  • 论文/Paper: http://arxiv.org/pdf/2207.10040
  • 代码/Code: None

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

  • 论文/Paper: http://arxiv.org/pdf/2207.10666
  • 代码/Code: https://github.com/microsoft/cream

An Efficient Spatio-Temporal Pyramid Transformer for Action Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.10448
  • 代码/Code: None

Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration

  • 论文/Paper: http://arxiv.org/pdf/2207.10447
  • 代码/Code: https://github.com/164140757/scm

SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer

  • 论文/Paper: http://arxiv.org/pdf/2207.10315
  • 代码/Code: https://github.com/hrzhou2/seedformer

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.10866
  • 代码/Code: None

IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.12100
  • 代码/Code: None

3D Siamese Transformer Network for Single Object Tracking on Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2207.11995
  • 代码/Code: None

Reference-based Image Super-Resolution with Deformable Attention Transformer

  • 论文/Paper: http://arxiv.org/pdf/2207.11938
  • 代码/Code: None

SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding

  • 论文/Paper: http://arxiv.org/pdf/2207.13325
  • 代码/Code: None

Online Continual Learning with Contrastive Vision Transformer

  • 论文/Paper: http://arxiv.org/pdf/2207.13516
  • 代码/Code: None

Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers

  • 论文/Paper: http://arxiv.org/pdf/2207.13820
  • 代码/Code: https://github.com/postech-ami/FastMETRO

Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition

  • 论文/Paper: http://arxiv.org/pdf/2208.00438
  • 代码/Code: https://github.com/xdxie/WordArt

返回目录/back

多模态 / Multimodal

Audio-Visual Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.05042
  • 代码/Code: https://github.com/OpenNLPLab/AVSBench

Cross-modal Prototype Driven Network for Radiology Report Generation

  • 论文/Paper: http://arxiv.org/pdf/2207.04818
  • 代码/Code: None

Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting

  • 论文/Paper: http://arxiv.org/pdf/2207.04624
  • 代码/Code: https://github.com/d1024choi/HLSTrajForecast

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP

  • 论文/Paper: http://arxiv.org/pdf/2207.05420
  • 代码/Code: https://github.com/Sense-X/UniNet

Video Graph Transformer for Video Question Answering

  • 论文/Paper: http://arxiv.org/pdf/2207.05342
  • 代码/Code: https://github.com/sail-sg/VGT

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

  • 论文/Paper: http://arxiv.org/pdf/2207.07116
  • 代码/Code: https://github.com/lightdxy/bootmae

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

  • 论文/Paper: http://arxiv.org/pdf/2207.09156
  • 代码/Code: None

Exploiting Unlabeled Data with Vision and Language Models for Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.08954
  • 代码/Code: https://github.com/xiaofeng94/VL-PLM

LocVTP: Video-Text Pre-training for Temporal Localization

  • 论文/Paper: http://arxiv.org/pdf/2207.10362
  • 代码/Code: https://github.com/mengcaopku/locvtp

Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments

  • 论文/Paper: http://arxiv.org/pdf/2207.10785
  • 代码/Code: https://github.com/VinAIResearch/fsvc-ata

Cross-Modal 3D Shape Generation and Manipulation

  • 论文/Paper: http://arxiv.org/pdf/2207.11795
  • 代码/Code: None

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training

  • 论文/Paper: http://arxiv.org/pdf/2207.12661
  • 代码/Code: https://github.com/hxyou/msclip

返回目录/back

对比学习/Contrastive Learning

Network Binarization via Contrastive Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.02970
  • 代码/Code: None

Contrastive Deep Supervision

  • 论文/Paper: http://arxiv.org/pdf/2207.05306
  • 代码/Code: None

ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

  • 论文/Paper: http://arxiv.org/pdf/2207.06733
  • 代码/Code: https://github.com/tencentailabhealthcare/concl

Action-based Contrastive Learning for Trajectory Prediction

  • 论文/Paper: http://arxiv.org/pdf/2207.08664
  • 代码/Code: None

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

  • 论文/Paper: http://arxiv.org/pdf/2207.08630
  • 代码/Code: https://github.com/iceli1007/FakeCLR.

Adversarial Contrastive Learning via Asymmetric InfoNCE

  • 论文/Paper: http://arxiv.org/pdf/2207.08374
  • 代码/Code: https://github.com/yqy2001/A-InfoNCE

Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches

  • 论文/Paper: http://arxiv.org/pdf/2207.08220
  • 代码/Code: None

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness

  • 论文/Paper: http://arxiv.org/pdf/2207.10899
  • 代码/Code: https://github.com/pantheon5100/DeACL.

Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.10892
  • 代码/Code: None

返回目录/back

目标检测/Object Detection

Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.02541
  • 代码/Code: None

Should All Proposals be Treated Equally in Object Detection?

  • 论文/Paper: http://arxiv.org/pdf/2207.03520
  • 代码/Code: None

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

  • 论文/Paper: http://arxiv.org/pdf/2207.05345
  • 代码/Code: https://github.com/LutingWang/HEAD

Adversarially-Aware Robust Object Detector

  • 论文/Paper: http://arxiv.org/pdf/2207.06202
  • 代码/Code: https://github.com/7eu7d7/robustdet

ObjectBox: From Centers to Boxes for Anchor-Free Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.06985
  • 代码/Code: https://github.com/mohsenzand/objectbox

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

  • 论文/Paper: http://arxiv.org/pdf/2207.06827
  • 代码/Code: None

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.08531
  • 代码/Code: https://github.com/SPengLiang/DID-M3D.

SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.07898
  • 代码/Code: https://github.com/Hydragon516/SPSN

Rethinking IoU-based Optimization for Single-stage 3D Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.09332
  • 代码/Code: https://github.com/hlsheng1/RDIoU

Densely Constrained Depth Estimator for Monocular 3D Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.10047
  • 代码/Code: https://github.com/bravegroup/dcd

Robust Object Detection With Inaccurate Bounding Boxes

  • 论文/Paper: http://arxiv.org/pdf/2207.09697
  • 代码/Code: https://github.com/cxliu0/OA-MIL

Unsupervised Domain Adaptation for One-stage Object Detector using Offsets to Bounding Box

  • 论文/Paper: http://arxiv.org/pdf/2207.09656
  • 代码/Code: None

AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.10316
  • 代码/Code: https://github.com/zehuichen123/autoalignv2

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

  • 论文/Paper: http://arxiv.org/pdf/2207.11169
  • 代码/Code: https://github.com/amazon-research/few-shot-object-detection-benchmark.

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.10758
  • 代码/Code: https://github.com/abhi1kumar/DEVIANT

Active Learning Strategies for Weakly-supervised Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.12112
  • 代码/Code: https://github.com/huyvvo/BiB.

W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.12104
  • 代码/Code: https://github.com/1170300714/w2n_wsod.

Salient Object Detection for Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2207.11889
  • 代码/Code: None

UC-OWOD: Unknown-Classified Open World Object Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.11455
  • 代码/Code: https://github.com/JohnWuzh/UC-OWOD

Monocular 3D Object Detection with Depth from Motion

  • 论文/Paper: http://arxiv.org/pdf/2207.12988
  • 代码/Code: https://github.com/tai-wang/depth-from-motion

返回目录/back

目标跟踪/Object Tracking

Tracking Objects as Pixel-wise Distributions

  • 论文/Paper: http://arxiv.org/pdf/2207.05518
  • 代码/Code: None

Towards Grand Unification of Object Tracking

  • 论文/Paper: http://arxiv.org/pdf/2207.07078
  • 代码/Code: https://github.com/masterbin-iiau/unicorn

The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting

  • 论文/Paper: http://arxiv.org/pdf/2207.09295
  • 代码/Code: None

MOTCOM: The Multi-Object Tracking Dataset Complexity Metric

  • 论文/Paper: http://arxiv.org/pdf/2207.10031
  • 代码/Code: None

Robust Landmark-based Stent Tracking in X-ray Fluoroscopy

  • 论文/Paper: http://arxiv.org/pdf/2207.09933
  • 代码/Code: None

AiATrack: Attention in Attention for Transformer Visual Tracking

  • 论文/Paper: http://arxiv.org/pdf/2207.09603
  • 代码/Code: https://github.com/Little-Podi/AiATrack

3D Siamese Transformer Network for Single Object Tracking on Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2207.11995
  • 代码/Code: None

Tracking Every Thing in the Wild

  • 论文/Paper: http://arxiv.org/pdf/2207.12978
  • 代码/Code: None

AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing

  • 论文/Paper: http://arxiv.org/pdf/2207.13784
  • 代码/Code: https://github.com/eth-siplab/AvatarPoser

返回目录/back

语义分割/Segmentation

Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

  • 论文/Paper: http://arxiv.org/pdf/2207.02372
  • 代码/Code: https://github.com/xing0047/tps

OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers

  • 论文/Paper: http://arxiv.org/pdf/2207.02255
  • 代码/Code: https://github.com/pjlallen/osformer

PseudoClick: Interactive Image Segmentation with Click Imitation

  • 论文/Paper: http://arxiv.org/pdf/2207.05282
  • 代码/Code: None

XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

  • 论文/Paper: http://arxiv.org/pdf/2207.07115
  • 代码/Code: https://github.com/hkchengrex/XMem

Tackling Background Distraction in Video Object Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.06953
  • 代码/Code: https://github.com/suhwan-cho/tbd

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.08549
  • 代码/Code: None

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.08485
  • 代码/Code: https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN

Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding

  • 论文/Paper: http://arxiv.org/pdf/2207.08455
  • 代码/Code: None

Learning Quality-aware Dynamic Memory for Video Object Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.07922
  • 代码/Code: https://github.com/workforai/QDMN

Box-supervised Instance Segmentation with Level Set Evolution

  • 论文/Paper: http://arxiv.org/pdf/2207.09055
  • 代码/Code: https://github.com/LiWentomng/boxlevelset

ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.09045
  • 代码/Code: None

Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach

  • 论文/Paper: http://arxiv.org/pdf/2207.09314
  • 代码/Code: None

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.09988
  • 代码/Code: https://github.com/dvlab-research/decouplenet

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.09778
  • 代码/Code: https://github.com/saltoricristiano/cosmix-uda

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.09763
  • 代码/Code: https://github.com/saltoricristiano/gipso-sfouda

Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions

  • 论文/Paper: http://arxiv.org/pdf/2207.10667
  • 代码/Code: https://github.com/theo2021/onda

In Defense of Online Models for Video Instance Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.10661
  • 代码/Code: https://github.com/wjf5203/vnext

Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.10436
  • 代码/Code: https://github.com/guoleisun/vss-mrcfa

Long-tailed Instance Segmentation using Gumbel Optimized Loss

  • 论文/Paper: http://arxiv.org/pdf/2207.10936
  • 代码/Code: https://github.com/kostas1515/GOL

Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.10892
  • 代码/Code: None

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.10866
  • 代码/Code: None

Self-Support Few-Shot Semantic Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.11549
  • 代码/Code: https://github.com/fanq15/SSP

Active Pointly-Supervised Instance Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.11493
  • 代码/Code: None

Video Mask Transfiner for High-Quality Video Instance Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.14012
  • 代码/Code: None

Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2208.00306
  • 代码/Code: None

Per-Clip Video Object Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2208.01924
  • 代码/Code: https://github.com/pkyong95/PCVOS

Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels

  • 论文/Paper: http://arxiv.org/pdf/2208.02804
  • 代码/Code: None

返回目录/back

医学图像分割/Medical Image Segmentation

Personalizing Federated Medical Image Segmentation via Local Calibration

  • 论文/Paper: http://arxiv.org/pdf/2207.04655
  • 代码/Code: https://github.com/jcwang123/FedLC

Learning Topological Interactions for Multi-Class Medical Image Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.09654
  • 代码/Code: https://github.com/topoxlab/topointeraction

返回目录/back

Knowledge Distillation

Knowledge Condensation Distillation

  • 论文/Paper: http://arxiv.org/pdf/2207.05409
  • 代码/Code: https://github.com/dzy3/KCD

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation

  • 论文/Paper: http://arxiv.org/pdf/2207.09158
  • 代码/Code: None

返回目录/back

Action Detection

ReAct: Temporal Action Detection with Relational Queries

  • 论文/Paper: http://arxiv.org/pdf/2207.07097
  • 代码/Code: https://github.com/sssste/react

Semi-Supervised Temporal Action Detection with Proposal-Free Masking

  • 论文/Paper: http://arxiv.org/pdf/2207.07059
  • 代码/Code: https://github.com/sauradip/SPOT

Temporal Action Detection with Global Segmentation Mask Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.06580
  • 代码/Code: https://github.com/sauradip/TAGS

Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions

  • 论文/Paper: http://arxiv.org/pdf/2207.11805
  • 代码/Code: None

返回目录/back

Action Recognition

Compound Prototype Matching for Few-shot Action Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.05515
  • 代码/Code: None

Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.09767
  • 代码/Code: https://github.com/canbaoburen/CoDT

Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition

  • 论文/Paper: http://arxiv.org/pdf/2208.01897
  • 代码/Code: None

返回目录/back

Anomaly Detection

Registration based Few-Shot Anomaly Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.07361
  • 代码/Code: https://github.com/MediaBrain-SJTU/RegAD

Look at Adjacent Frames: Video Anomaly Detection without Offline Training

  • 论文/Paper: http://arxiv.org/pdf/2207.13798
  • 代码/Code: None

返回目录/back

人脸识别/Face Recognition

Controllable and Guided Face Synthesis for Unconstrained Face Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.10180
  • 代码/Code: None

返回目录/back

人体姿态估计/Human Pose Estimation

Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation

  • 论文/Paper: http://arxiv.org/pdf/2207.02425
  • 代码/Code: None

Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks

  • 论文/Paper: http://arxiv.org/pdf/2207.05444
  • 代码/Code: https://github.com/JiehongLin/Self-DPDN

Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.06101
  • 代码/Code: https://github.com/boeun-kim/gl-transformer

TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance

  • 论文/Paper: http://arxiv.org/pdf/2207.07861
  • 代码/Code: https://github.com/yanjh97/TransGrasp

Pose for Everything: Towards Category-Agnostic Pose Estimation

  • 论文/Paper: http://arxiv.org/pdf/2207.10387
  • 代码/Code: https://github.com/luminxu/Pose-for-Everything

C3P: Cross-domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation

  • 论文/Paper: None
  • 代码/Code: https://github.com/wucunlin/C3P

3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal

  • 论文/Paper: http://arxiv.org/pdf/2207.11061
  • 代码/Code: https://github.com/MengHao666/HDR.

Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection

  • 论文/Paper: http://arxiv.org/pdf/2207.10955
  • 代码/Code: None

ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization

  • 论文/Paper: http://arxiv.org/pdf/2207.13691
  • 代码/Code: None

RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation

  • 论文/Paper: http://arxiv.org/pdf/2208.00237
  • 代码/Code: None

Neural Correspondence Field for Object Pose Estimation

  • 论文/Paper: http://arxiv.org/pdf/2208.00113
  • 代码/Code: None

Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation

  • 论文/Paper: http://arxiv.org/pdf/2208.00090
  • 代码/Code: None

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

  • 论文/Paper: http://arxiv.org/pdf/2208.00571
  • 代码/Code: https://github.com/huawei-noah/noah-research/tree/master/CLIFF

返回目录/back

人脸活体检测/Face Anti-Spoofing

Generative Domain Adaptation for Face Anti-Spoofing

  • 论文/Paper: http://arxiv.org/pdf/2207.10015
  • 代码/Code: None

返回目录/back

人脸属性识别/Facial Attribute Recognition

FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification

  • 论文/Paper: http://arxiv.org/pdf/2207.10888
  • 代码/Code: https://github.com/Bernardo1998/FairGRAPE

返回目录/back

人脸相关 / Face

On Mitigating Hard Clusters for Face Clustering

  • 论文/Paper: http://arxiv.org/pdf/2207.11895
  • 代码/Code: https://github.com/echoanran/On-Mitigating-Hard-Clusters.

Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis

  • 论文/Paper: http://arxiv.org/pdf/2207.11770
  • 代码/Code: None

返回目录/back

Human Reconstruction

3D Clothed Human Reconstruction in the Wild

  • 论文/Paper: http://arxiv.org/pdf/2207.10053
  • 代码/Code: https://github.com/hygenie1228/clothwild_release

UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation

  • 论文/Paper: http://arxiv.org/pdf/2207.09835
  • 代码/Code: https://github.com/ShenhanQian/UNIF

The One Where They Reconstructed 3D Humans and Environments in TV Shows

  • 论文/Paper: http://arxiv.org/pdf/2207.14279
  • 代码/Code: None

返回目录/back

Relighting

Geometry-aware Single-image Full-body Human Relighting

  • 论文/Paper: http://arxiv.org/pdf/2207.04750
  • 代码/Code: None

Relighting4D: Neural Relightable Human from Videos

  • 论文/Paper: http://arxiv.org/pdf/2207.07104
  • 代码/Code: https://github.com/FrozenBurning/Relighting4D

返回目录/back

DeepFake

Detecting and Recovering Sequential DeepFake Manipulation

  • 论文/Paper: http://arxiv.org/abs/2207.02204
  • 代码/Code: https://github.com/rshaojimmy/seqdeepfake

An Efficient Method for Face Quality Assessment on the Edge

  • 论文/Paper: http://arxiv.org/pdf/2207.09505
  • 代码/Code: None

返回目录/back

Text Recognition

Scene Text Recognition with Permuted Autoregressive Sequence Models

  • 论文/Paper: http://arxiv.org/pdf/2207.06966
  • 代码/Code: https://github.com/baudm/parseq

Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting

  • 论文/Paper: http://arxiv.org/pdf/2207.06694
  • 代码/Code: https://github.com/hikopensource/davar-lab-ocr

Contextual Text Block Detection towards Scene Text Understanding

  • 论文/Paper: http://arxiv.org/pdf/2207.12955
  • 代码/Code: None

返回目录/back

点云/Point Cloud

Open-world Semantic Segmentation for LIDAR Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2207.01452
  • 代码/Code: https://github.com/jun-cen/open_world_3d_semantic_segmentation

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2207.04397
  • 代码/Code: None

CPO: Change Robust Panorama to Point Cloud Localization

  • 论文/Paper: http://arxiv.org/pdf/2207.05317
  • 代码/Code: None

diffConv: Analyzing Irregular Point Clouds with an Irregular View

  • 论文/Paper: https://arxiv.org/abs/2111.14658
  • 代码/Code: https://github.com/mmmmimic/diffConvNet

CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement

  • 论文/Paper: http://arxiv.org/pdf/2207.08082
  • 代码/Code: None

Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation

  • 论文/Paper: http://arxiv.org/pdf/2207.09084
  • 代码/Code: None

SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer

  • 论文/Paper: http://arxiv.org/pdf/2207.10315
  • 代码/Code: https://github.com/hrzhou2/seedformer

Dynamic 3D Scene Analysis by Point Cloud Accumulation

  • 论文/Paper: http://arxiv.org/pdf/2207.12394
  • 代码/Code: None

3D Siamese Transformer Network for Single Object Tracking on Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2207.11995
  • 代码/Code: None

Salient Object Detection for Point Clouds

  • 论文/Paper: http://arxiv.org/pdf/2207.11889
  • 代码/Code: None

MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud

  • 论文/Paper: http://arxiv.org/pdf/2207.14268
  • 代码/Code: https://github.com/MichaelRamamonjisoa/MonteBoxFinder

返回目录/back

光流估计/Flow Estimation

Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation

  • 论文/Paper: http://arxiv.org/pdf/2207.07522
  • 代码/Code: https://github.com/cwc1260/BiFlow

What Matters for 3D Scene Flow Network

  • 论文/Paper: http://arxiv.org/pdf/2207.09143
  • 代码/Code: https://github.com/IRMVLab/3DFlow

Deep 360$^\circ$ Optical Flow Estimation Based on Multi-Projection Fusion

  • 论文/Paper: http://arxiv.org/pdf/2208.00776
  • 代码/Code: None

返回目录/back

深度估计/Depth Estimation

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

  • 论文/Paper: http://arxiv.org/pdf/2207.04718
  • 代码/Code: None

Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics

  • 论文/Paper: http://arxiv.org/pdf/2207.04680
  • 代码/Code: https://github.com/SenZHANG-GitHub/ekf-imu-depth

RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation

  • 论文/Paper: http://arxiv.org/pdf/2207.11984
  • 代码/Code: None

返回目录/back

车道线检测/Lane Detection

RCLane: Relay Chain Prediction for Lane Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.09399
  • 代码/Code: None

返回目录/back

轨迹预测/Trajectory Prediction

Action-based Contrastive Learning for Trajectory Prediction

  • 论文/Paper: http://arxiv.org/pdf/2207.08664
  • 代码/Code: None

Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction

  • 论文/Paper: http://arxiv.org/pdf/2207.09953
  • 代码/Code: https://github.com/inhwanbae/gpgraph

Aware of the History: Trajectory Forecasting with the Local Behavior Data

  • 论文/Paper: http://arxiv.org/pdf/2207.09646
  • 代码/Code: None

Human Trajectory Prediction via Neural Social Physics

  • 论文/Paper: http://arxiv.org/pdf/2207.10435
  • 代码/Code: https://github.com/realcrane/human-trajectory-prediction-via-neural-social-physics

D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights

  • 论文/Paper: http://arxiv.org/pdf/2207.10398
  • 代码/Code: https://github.com/vtp-tl/d2-tpred

返回目录/back

超分/Super-Resolution

Image Super-Resolution with Deep Dictionary

  • 论文/Paper: http://arxiv.org/pdf/2207.09228
  • 代码/Code: None

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

  • 论文/Paper: http://arxiv.org/pdf/2207.09156
  • 代码/Code: None

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution

  • 论文/Paper: http://arxiv.org/pdf/2207.10345
  • 代码/Code: https://github.com/cheeun/cadyq

Towards Interpretable Video Super-Resolution via Alternating Optimization

  • 论文/Paper: http://arxiv.org/pdf/2207.10765
  • 代码/Code: None

Reference-based Image Super-Resolution with Deformable Attention Transformer

  • 论文/Paper: http://arxiv.org/pdf/2207.11938
  • 代码/Code: None

返回目录/back

图像去噪/Image Denoising

Optimizing Image Compression via Joint Learning with Denoising

  • 论文/Paper: http://arxiv.org/pdf/2207.10869
  • 代码/Code: https://github.com/felixcheng97/DenoiseCompression

返回目录/back

图像去模糊/Image Deblurring

Spatio-Temporal Deformable Attention Network for Video Deblurring

  • 论文/Paper: http://arxiv.org/pdf/2207.10852
  • 代码/Code: None

Efficient Video Deblurring Guided by Motion Magnitude

  • 论文/Paper: http://arxiv.org/pdf/2207.13374
  • 代码/Code: None

返回目录/back

图像复原/Image Restoration

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration

  • 论文/Paper: http://arxiv.org/pdf/2207.03294
  • 代码/Code: https://github.com/zhaoyuzhi/D2HNet

返回目录/back

图像增强/Image Enhancement

Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression

  • 论文/Paper: http://arxiv.org/pdf/2207.10564
  • 代码/Code: https://github.com/jinyeying/night-enhancement

返回目录/back

检索/Image Retrieval

Feature Representation Learning for Unsupervised Cross-domain Image Retrieval

  • 论文/Paper: http://arxiv.org/pdf/2207.09721
  • 代码/Code: https://github.com/conghuihu/ucdir

返回目录/back

其他/Other

Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets

  • 论文/Paper: http://arxiv.org/pdf/2207.01573
  • 代码/Code: None

GraphVid: It Only Takes a Few Nodes to Understand a Video

  • 论文/Paper: http://arxiv.org/pdf/2207.01375
  • 代码/Code: None

Target-absent Human Attention

  • 论文/Paper: http://arxiv.org/pdf/2207.01166
  • 代码/Code: None

Lottery Ticket Hypothesis for Spiking Neural Networks

  • 论文/Paper: http://arxiv.org/pdf/2207.01382
  • 代码/Code: None

Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality

  • 论文/Paper: http://arxiv.org/abs/2207.02119
  • 代码/Code: https://github.com/kingjamessong/orthoimprovecond

AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture

  • 论文/Paper: http://arxiv.org/abs/2207.02031
  • 代码/Code: https://github.com/lizhe00/AvatarCap.

DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images

  • 论文/Paper: http://arxiv.org/abs/2207.02025
  • 代码/Code: None

Learning Local Implicit Fourier Representation for Image Warping

  • 论文/Paper: http://arxiv.org/abs/2207.01831
  • 代码/Code: https://github.com/jaewon-lee-b/ltew

SESS: Saliency Enhancing with Scaling and Sliding

  • 论文/Paper: http://arxiv.org/abs/2207.01769
  • 代码/Code: https://github.com/neouyghur/sess

TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

  • 论文/Paper: http://arxiv.org/abs/2207.01696
  • 代码/Code: None

DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.02606
  • 代码/Code: None

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

  • 论文/Paper: http://arxiv.org/pdf/2207.02595
  • 代码/Code: https://github.com/timothyhtimothy/fast-vqa

Towards Realistic Semi-Supervised Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.02269
  • 代码/Code: None

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.02261
  • 代码/Code: None

Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.02598
  • 代码/Code: None

Factorizing Knowledge in Neural Networks

  • 论文/Paper: http://arxiv.org/pdf/2207.03337
  • 代码/Code: None

SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning

  • 论文/Paper: http://arxiv.org/pdf/2207.03677
  • 代码/Code: https://github.com/RICE-EIC/SuperTickets.

Video Dialog as Conversation about Objects Living in Space-Time

  • 论文/Paper: http://arxiv.org/pdf/2207.03656
  • 代码/Code: https://github.com/hoanganhpham1006/COST

Demystifying Unsupervised Semantic Correspondence Estimation

  • 论文/Paper: http://arxiv.org/pdf/2207.05054
  • 代码/Code: None

A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision

  • 论文/Paper: http://arxiv.org/pdf/2207.04997
  • 代码/Code: None

DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization

  • 论文/Paper: http://arxiv.org/pdf/2207.04788
  • 代码/Code: None

Batch-efficient EigenDecomposition for Small and Medium Matrices

  • 论文/Paper: http://arxiv.org/pdf/2207.04228
  • 代码/Code: None

Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space

  • 论文/Paper: http://arxiv.org/pdf/2207.04161
  • 代码/Code: None

Camera Pose Auto-Encoders for Improving Pose Regression

  • 论文/Paper: http://arxiv.org/pdf/2207.05530
  • 代码/Code: https://github.com/yolish/camera-pose-auto-encoders

Synergistic Self-supervised and Quantization Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.05432
  • 代码/Code: https://github.com/megvii-research/SSQL-ECCV2022

Frequency Domain Model Augmentation for Adversarial Attack

  • 论文/Paper: http://arxiv.org/pdf/2207.05382
  • 代码/Code: https://github.com/yuyang-long/ssa

Organic Priors in Non-Rigid Structure from Motion

  • 论文/Paper: http://arxiv.org/pdf/2207.06262
  • 代码/Code: None

Unsupervised Visual Representation Learning by Synchronous Momentum Grouping

  • 论文/Paper: http://arxiv.org/pdf/2207.06167
  • 代码/Code: None

Learning Implicit Templates for Point-Based Clothed Human Modeling

  • 论文/Paper: http://arxiv.org/pdf/2207.06955
  • 代码/Code: https://github.com/jsnln/fite

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

  • 论文/Paper: http://arxiv.org/pdf/2207.06873
  • 代码/Code: https://github.com/explainableml/bayescap

Lipschitz Continuity Retained Binary Neural Network

  • 论文/Paper: http://arxiv.org/pdf/2207.06540
  • 代码/Code: https://github.com/42shawn/lcr_bnn

3D Instances as 1D Kernels

  • 论文/Paper: http://arxiv.org/pdf/2207.07372
  • 代码/Code: https://github.com/W1zheng/DKNet

ScaleNet: Searching for the Model to Scale

  • 论文/Paper: http://arxiv.org/pdf/2207.07267
  • 代码/Code: https://github.com/luminolx/ScaleNet

Rethinking Data Augmentation for Robust Visual Question Answering

  • 论文/Paper: http://arxiv.org/pdf/2207.08739
  • 代码/Code: https://github.com/ItemZheng/KDDAug

Semantic Novelty Detection via Relational Reasoning

  • 论文/Paper: http://arxiv.org/pdf/2207.08699
  • 代码/Code: None

Label2Label: A Language Modeling Framework for Multi-Attribute Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.08677
  • 代码/Code: https://github.com/Li-Wanhua/Label2Label.

Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes

  • 论文/Paper: http://arxiv.org/pdf/2207.08656
  • 代码/Code: https://github.com/UncleMEDM/InstPIFu

Class-incremental Novel Class Discovery

  • 论文/Paper: http://arxiv.org/pdf/2207.08605
  • 代码/Code: https://github.com/OatmealLiu/class-iNCD

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects

  • 论文/Paper: http://arxiv.org/pdf/2207.08403
  • 代码/Code: None

SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement

  • 论文/Paper: http://arxiv.org/pdf/2207.08351
  • 代码/Code: None

Learning with Recoverable Forgetting

  • 论文/Paper: http://arxiv.org/pdf/2207.08224
  • 代码/Code: None

Zero-Shot Temporal Action Detection via Vision-Language Prompting

  • 论文/Paper: http://arxiv.org/pdf/2207.08184
  • 代码/Code: https://github.com/sauradip/STALE

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal

  • 论文/Paper: http://arxiv.org/pdf/2207.08178
  • 代码/Code: None

FashionViL: Fashion-Focused Vision-and-Language Representation Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.08150
  • 代码/Code: https://github.com/BrandonHanx/mmf.

E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context

  • 论文/Paper: http://arxiv.org/pdf/2207.08132
  • 代码/Code: https://github.com/kyleleey/E-NeRV.

Neural Color Operators for Sequential Image Retouching

  • 论文/Paper: http://arxiv.org/pdf/2207.08080
  • 代码/Code: https://github.com/amberwangyili/neurop

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

  • 论文/Paper: http://arxiv.org/pdf/2207.07932
  • 代码/Code: None

JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes

  • 论文/Paper: http://arxiv.org/pdf/2207.07895
  • 代码/Code: at~\href{https://github.com/sunnyHelen/JPerceiver}{https://github.com/sunnyHelen/JPerceiver}.

You Should Look at All Objects

  • 论文/Paper: http://arxiv.org/pdf/2207.07889
  • 代码/Code: None

NeFSAC: Neurally Filtered Minimal Samples

  • 论文/Paper: http://arxiv.org/pdf/2207.07872
  • 代码/Code: https://github.com/cavalli1234/NeFSAC.

CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS

  • 论文/Paper: http://arxiv.org/pdf/2207.07868
  • 代码/Code: https://github.com/walkerning/aw_nas.

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

  • 论文/Paper: http://arxiv.org/pdf/2207.07826
  • 代码/Code: https://github.com/WentaoChen0813/CDCS-FSL

Self-calibrating Photometric Stereo by Neural Inverse Rendering

  • 论文/Paper: http://arxiv.org/pdf/2207.07815
  • 代码/Code: https://github.com/junxuan-li/SCPS-NIR

Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.07783
  • 代码/Code: https://github.com/SRA2/SPELL

Towards Understanding The Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search

  • 论文/Paper: http://arxiv.org/pdf/2207.08350
  • 代码/Code: None

PoserNet: Refining Relative Camera Poses Exploiting Object Detections

  • 论文/Paper: http://arxiv.org/pdf/2207.09445
  • 代码/Code: https://github.com/IIT-PAVIS/PoserNet

Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos

  • 论文/Paper: http://arxiv.org/pdf/2207.09425
  • 代码/Code: None

Deep Semantic Statistics Matching (D2SM) Denoising Network

  • 论文/Paper: http://arxiv.org/pdf/2207.09302
  • 代码/Code: None

3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform

  • 论文/Paper: http://arxiv.org/pdf/2207.09291
  • 代码/Code: https://github.com/Starrah/DMH-Net

NDF: Neural Deformable Fields for Dynamic Human Modelling

  • 论文/Paper: http://arxiv.org/pdf/2207.09193
  • 代码/Code: None

Self-Supervision Can Be a Good Few-Shot Learner

  • 论文/Paper: http://arxiv.org/pdf/2207.09176
  • 代码/Code: https://github.com/bbbdylan/unisiam

ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild

  • 论文/Paper: http://arxiv.org/pdf/2207.09137
  • 代码/Code: https://github.com/bytedance/particle-sfm.

MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views

  • 论文/Paper: http://arxiv.org/pdf/2207.09086
  • 代码/Code: None

SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data

  • 论文/Paper: http://arxiv.org/pdf/2207.08979
  • 代码/Code: None

Prior-Guided Adversarial Initialization for Fast Adversarial Training

  • 论文/Paper: http://arxiv.org/pdf/2207.08859
  • 代码/Code: https://github.com/jiaxiaojunQAQ/FGSM-PGI.

Prior Knowledge Guided Unsupervised Domain Adaptation

  • 论文/Paper: http://arxiv.org/pdf/2207.08877
  • 代码/Code: https://github.com/tsun/KUDA

Discover and Mitigate Unknown Biases with Debiasing Alternate Networks

  • 论文/Paper: http://arxiv.org/pdf/2207.10077
  • 代码/Code: https://github.com/zhihengli-UR/DebiAN

Difficulty-Aware Simulator for Open Set Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.10024
  • 代码/Code: https://github.com/wjun0830/difficulty-aware-simulator

Tailoring Self-Supervision for Supervised Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.10023
  • 代码/Code: https://github.com/wjun0830/localizable-rotation

Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain

  • 论文/Paper: http://arxiv.org/pdf/2207.10002
  • 代码/Code: https://github.com/boschresearch/sourcegen

Temporal and cross-modal attention for audio-visual zero-shot learning

  • 论文/Paper: http://arxiv.org/pdf/2207.09966
  • 代码/Code: https://github.com/explainableml/tcaf-gzsl

Telepresence Video Quality Assessment

  • 论文/Paper: http://arxiv.org/pdf/2207.09956
  • 代码/Code: None

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

  • 论文/Paper: http://arxiv.org/pdf/2207.09935
  • 代码/Code: None

Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification

  • 论文/Paper: http://arxiv.org/pdf/2207.09884
  • 代码/Code: None

Discrete-Constrained Regression for Local Counting Models

  • 论文/Paper: http://arxiv.org/pdf/2207.09865
  • 代码/Code: None

Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction

  • 论文/Paper: http://arxiv.org/pdf/2207.09705
  • 代码/Code: None

Efficient Meta-Tuning for Content-aware Neural Video Delivery

  • 论文/Paper: http://arxiv.org/pdf/2207.09691
  • 代码/Code: https://github.com/neural-video-delivery/emt-pytorch-eccv2022

Object-Compositional Neural Implicit Surfaces

  • 论文/Paper: http://arxiv.org/pdf/2207.09686
  • 代码/Code: https://github.com/qianyiwu/objsdf

Explaining Deepfake Detection by Analysing Image Matching

  • 论文/Paper: http://arxiv.org/pdf/2207.09679
  • 代码/Code: https://github.com/megvii-research/fst-matching

ERA: Expert Retrieval and Assembly for Early Action Prediction

  • 论文/Paper: http://arxiv.org/pdf/2207.09675
  • 代码/Code: None

Perspective Phase Angle Model for Polarimetric 3D Reconstruction

  • 论文/Paper: http://arxiv.org/pdf/2207.09629
  • 代码/Code: https://github.com/gcchen97/ppa4p3d

Explicit Image Caption Editing

  • 论文/Paper: http://arxiv.org/pdf/2207.09625
  • 代码/Code: https://github.com/baaaad/ece

Unsupervised Deep Multi-Shape Matching

  • 论文/Paper: http://arxiv.org/pdf/2207.09610
  • 代码/Code: None

Contributions of Shape, Texture, and Color in Visual Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.09510
  • 代码/Code: https://github.com/gyhandy/humanoid-vision-engine

Novel Class Discovery without Forgetting

  • 论文/Paper: http://arxiv.org/pdf/2207.10659
  • 代码/Code: None

Approximate Differentiable Rendering with Algebraic Surfaces

  • 论文/Paper: http://arxiv.org/pdf/2207.10606
  • 代码/Code: None

FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling

  • 论文/Paper: http://arxiv.org/pdf/2207.10392
  • 代码/Code: None

Error Compensation Framework for Flow-Guided Video Inpainting

  • 论文/Paper: http://arxiv.org/pdf/2207.10391
  • 代码/Code: None

NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.10388
  • 代码/Code: None

Temporal Saliency Query Network for Efficient Video Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.10379
  • 代码/Code: None

UFO: Unified Feature Optimization

  • 论文/Paper: http://arxiv.org/pdf/2207.10341
  • 代码/Code: None

OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search

  • 论文/Paper: http://arxiv.org/pdf/2207.10320
  • 代码/Code: None

Towards Accurate Open-Set Recognition via Background-Class Regularization

  • 论文/Paper: http://arxiv.org/pdf/2207.10287
  • 代码/Code: None

Grounding Visual Representations with Texts for Domain Generalization

  • 论文/Paper: http://arxiv.org/pdf/2207.10285
  • 代码/Code: https://github.com/mswzeus/gvrt

SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks

  • 论文/Paper: http://arxiv.org/pdf/2207.10237
  • 代码/Code: https://github.com/apple/ml-spin

MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis

  • 论文/Paper: http://arxiv.org/pdf/2207.10228
  • 代码/Code: None

On Label Granularity and Object Localization

  • 论文/Paper: http://arxiv.org/pdf/2207.10225
  • 代码/Code: https://github.com/visipedia/inat_loc

Spotting Temporally Precise, Fine-Grained Events in Video

  • 论文/Paper: http://arxiv.org/pdf/2207.10213
  • 代码/Code: None

Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles

  • 论文/Paper: http://arxiv.org/pdf/2207.10172
  • 代码/Code: None

GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.10158
  • 代码/Code: https://github.com/seleucia/goca

Visual Knowledge Tracing

  • 论文/Paper: http://arxiv.org/pdf/2207.10157
  • 代码/Code: https://github.com/nkondapa/visualknowledgetracing

Tackling Long-Tailed Category Distribution Under Domain Shifts

  • 论文/Paper: http://arxiv.org/pdf/2207.10150
  • 代码/Code: https://github.com/guxiao0822/lt-ds

Latent Discriminant deterministic Uncertainty

  • 论文/Paper: http://arxiv.org/pdf/2207.10130
  • 代码/Code: https://github.com/ensta-u2is/ldu

Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance

  • 论文/Paper: http://arxiv.org/pdf/2207.10123
  • 代码/Code: https://github.com/zzh-tech/Animation-from-Blur.

Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach

  • 论文/Paper: http://arxiv.org/pdf/2207.10188
  • 代码/Code: None

Structural Causal 3D Reconstruction

  • 论文/Paper: http://arxiv.org/pdf/2207.10156
  • 代码/Code: None

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation

  • 论文/Paper: http://arxiv.org/pdf/2207.10141
  • 代码/Code: None

Continual Variational Autoencoder Learning via Online Cooperative Memorization

  • 论文/Paper: http://arxiv.org/pdf/2207.10131
  • 代码/Code: https://github.com/dtuzi123/ovae

Panoptic Scene Graph Generation

  • 论文/Paper: http://arxiv.org/pdf/2207.11247
  • 代码/Code: https://github.com/Jingkang50/OpenPSG

Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay

  • 论文/Paper: http://arxiv.org/pdf/2207.11213
  • 代码/Code: None

POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion

  • 论文/Paper: http://arxiv.org/pdf/2207.11001
  • 代码/Code: https://github.com/HumaticsLAB/POP-Mining-POtential-Performance

Few-shot Object Counting and Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.10988
  • 代码/Code: https://github.com/VinAIResearch/Counting-DETR

Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.10948
  • 代码/Code: https://github.com/Beyond-Zw/DLAN-AC.

My View is the Best View: Procedure Learning from Egocentric Videos

  • 论文/Paper: http://arxiv.org/pdf/2207.10883
  • 代码/Code: https://github.com/Sid2697/EgoProceL-egocentric-procedure-learning

Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation

  • 论文/Paper: http://arxiv.org/pdf/2207.10856
  • 代码/Code: https://github.com/Hongbin98/ProCA.git

MeshLoc: Mesh-Based Visual Localization

  • 论文/Paper: http://arxiv.org/pdf/2207.10762
  • 代码/Code: None

MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation

  • 论文/Paper: http://arxiv.org/pdf/2207.12389
  • 代码/Code: None

Deforming Radiance Fields with Cages

  • 论文/Paper: http://arxiv.org/pdf/2207.12298
  • 代码/Code: None

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data

  • 论文/Paper: http://arxiv.org/pdf/2207.12258
  • 代码/Code: https://github.com/Wangt-CN/EqInv

Black-box Few-shot Knowledge Distillation

  • 论文/Paper: http://arxiv.org/pdf/2207.12106
  • 代码/Code: https://github.com/nphdang/FS-BBT

Balancing Stability and Plasticity through Advanced Null Space in Continual Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.12061
  • 代码/Code: None

Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.11934
  • 代码/Code: None

NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing

  • 论文/Paper: http://arxiv.org/pdf/2207.11911
  • 代码/Code: None

Domain Adaptive Person Search

  • 论文/Paper: http://arxiv.org/pdf/2207.11898
  • 代码/Code: https://github.com/caposerenity/DAPS.

VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments

  • 论文/Paper: http://arxiv.org/pdf/2207.11810
  • 代码/Code: None

Label-Guided Auxiliary Training Improves 3D Object Detector

  • 论文/Paper: http://arxiv.org/pdf/2207.11753
  • 代码/Code: None

Combining Internal and External Constraints for Unrolling Shutter in Videos

  • 论文/Paper: http://arxiv.org/pdf/2207.11725
  • 代码/Code: None

TIPS: Text-Induced Pose Synthesis

  • 论文/Paper: http://arxiv.org/pdf/2207.11718
  • 代码/Code: None

Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes

  • 论文/Paper: http://arxiv.org/pdf/2207.11707
  • 代码/Code: None

Learning Graph Neural Networks for Image Style Transfer

  • 论文/Paper: http://arxiv.org/pdf/2207.11681
  • 代码/Code: None

Contrastive Monotonic Pixel-Level Modulation

  • 论文/Paper: http://arxiv.org/pdf/2207.11517
  • 代码/Code: https://github.com/lukun199/MonoPix.

CompNVS: Novel View Synthesis with Scene Completion

  • 论文/Paper: http://arxiv.org/pdf/2207.11467
  • 代码/Code: None

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.11463
  • 代码/Code: https://github.com/LBH1024/CAN.

Meta Spatio-Temporal Debiasing for Video Scene Graph Generation

  • 论文/Paper: http://arxiv.org/pdf/2207.11441
  • 代码/Code: None

3D Shape Sequence of Human Comparison and Classification using Current and Varifolds

  • 论文/Paper: http://arxiv.org/pdf/2207.12485
  • 代码/Code: https://github.com/cristal-3dsam/humancomparisonvarifolds

NewsStories: Illustrating articles with visual summaries

  • 论文/Paper: http://arxiv.org/pdf/2207.13061
  • 代码/Code: https://github.com/newsstoriesdata/newsstories.github.io

Efficient One Pass Self-distillation with Zipf's Label Smoothing

  • 论文/Paper: http://arxiv.org/pdf/2207.12980
  • 代码/Code: https://github.com/megvii-research/zipfls

AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction

  • 论文/Paper: http://arxiv.org/pdf/2207.12909
  • 代码/Code: None

Static and Dynamic Concepts for Self-supervised Video Representation Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.12795
  • 代码/Code: None

Learning Hierarchy Aware Features for Reducing Mistake Severity

  • 论文/Paper: http://arxiv.org/pdf/2207.12646
  • 代码/Code: https://github.com/07agarg/haf

Translating a Visual LEGO Manual to a Machine-Executable Plan

  • 论文/Paper: http://arxiv.org/pdf/2207.12572
  • 代码/Code: None

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.12535
  • 代码/Code: https://github.com/xinleihe/semi-leak

Trainability Preserving Neural Structured Pruning

  • 论文/Paper: http://arxiv.org/pdf/2207.12534
  • 代码/Code: https://github.com/mingsun-tse/tpp

Shift-tolerant Perceptual Similarity Metric

  • 论文/Paper: http://arxiv.org/pdf/2207.13686
  • 代码/Code: http://github.com/abhijay9/ShiftTolerant-LPIPS/

Abstracting Sketches through Simple Primitives

  • 论文/Paper: http://arxiv.org/pdf/2207.13543
  • 代码/Code: https://github.com/ExplainableML/sketch-primitives.

AutoTransition: Learning to Recommend Video Transition Effects

  • 论文/Paper: http://arxiv.org/pdf/2207.13479
  • 代码/Code: https://github.com/acherstyx/AutoTransition

Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips

  • 论文/Paper: http://arxiv.org/pdf/2207.13417
  • 代码/Code: https://github.com/jiawangbai/HPT

Identifying Hard Noise in Long-Tailed Sample Distribution

  • 论文/Paper: http://arxiv.org/pdf/2207.13378
  • 代码/Code: https://github.com/yxymessi/H2E-Framework

One-Trimap Video Matting

  • 论文/Paper: http://arxiv.org/pdf/2207.13353
  • 代码/Code: https://github.com/Hongje/OTVM

PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation

  • 论文/Paper: http://arxiv.org/pdf/2207.13340
  • 代码/Code: None

End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement

  • 论文/Paper: http://arxiv.org/pdf/2207.13268
  • 代码/Code: None

Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

  • 论文/Paper: http://arxiv.org/pdf/2207.13259
  • 代码/Code: https://github.com/MartinXM/TPS

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation

  • 论文/Paper: http://arxiv.org/pdf/2207.13247
  • 代码/Code: None

LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity

  • 论文/Paper: http://arxiv.org/pdf/2207.13129
  • 代码/Code: None

Initialization and Alignment for Adversarial Texture Optimization

  • 论文/Paper: http://arxiv.org/pdf/2207.14289
  • 代码/Code: None

Depth Field Networks for Generalizable Multi-view Scene Representation

  • 论文/Paper: http://arxiv.org/pdf/2207.14287
  • 代码/Code: None

Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection

  • 论文/Paper: http://arxiv.org/pdf/2207.14192
  • 代码/Code: https://github.com/enlighten0707/Body-Part-Map-for-Interactiveness.

Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images

  • 论文/Paper: http://arxiv.org/pdf/2207.14067
  • 代码/Code: None

Break and Make: Interactive Structural Understanding Using LEGO Bricks

  • 论文/Paper: http://arxiv.org/pdf/2207.13738
  • 代码/Code: https://github.com/aaronwalsman/ltron.

A Repulsive Force Unit for Garment Collision Handling in Neural Networks

  • 论文/Paper: http://arxiv.org/pdf/2207.13871
  • 代码/Code: None

Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion

  • 论文/Paper: http://arxiv.org/pdf/2207.14782
  • 代码/Code: https://github.com/low5545/minimal-neural-atlas

Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding

  • 论文/Paper: http://arxiv.org/pdf/2207.14698
  • 代码/Code: https://github.com/haojc/ShufflingVideosForTSG.

AlphaVC: High-Performance and Efficient Learned Video Compression

  • 论文/Paper: http://arxiv.org/pdf/2207.14678
  • 代码/Code: None

WISE: Whitebox Image Stylization by Example-based Learning

  • 论文/Paper: http://arxiv.org/pdf/2207.14606
  • 代码/Code: None

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

  • 论文/Paper: http://arxiv.org/pdf/2207.14476
  • 代码/Code: None

Video Question Answering with Iterative Video-Text Co-Tokenization

  • 论文/Paper: http://arxiv.org/pdf/2208.00934
  • 代码/Code: None

S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

  • 论文/Paper: http://arxiv.org/pdf/2208.00874
  • 代码/Code: None

Skeleton-free Pose Transfer for Stylized 3D Characters

  • 论文/Paper: http://arxiv.org/pdf/2208.00790
  • 代码/Code: None

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism

  • 论文/Paper: http://arxiv.org/pdf/2208.00617
  • 代码/Code: https://github.com/GANPerf/SAM

SdAE: Self-distillated Masked Autoencoder

  • 论文/Paper: http://arxiv.org/pdf/2208.00449
  • 代码/Code: https://github.com/AbrahamYabo/SdAE.

Out-of-Distribution Detection with Semantic Mismatch under Masking

  • 论文/Paper: http://arxiv.org/pdf/2208.00446
  • 代码/Code: https://github.com/cure-lab/MOODCat

Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction

  • 论文/Paper: http://arxiv.org/pdf/2208.00368
  • 代码/Code: None

Revisiting the Critical Factors of Augmentation-Invariant Representation Learning

  • 论文/Paper: http://arxiv.org/pdf/2208.00275
  • 代码/Code: None

Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network

  • 论文/Paper: http://arxiv.org/pdf/2208.00183
  • 代码/Code: None

Few-Shot Class-Incremental Learning from an Open-Set Perspective

  • 论文/Paper: http://arxiv.org/pdf/2208.00147
  • 代码/Code: None

DAS: Densely-Anchored Sampling for Deep Metric Learning

  • 论文/Paper: http://arxiv.org/pdf/2208.00119
  • 代码/Code: https://github.com/lizhaoliu-Lec/DAS

Fast Two-step Blind Optical Aberration Correction

  • 论文/Paper: http://arxiv.org/pdf/2208.00950
  • 代码/Code: None

Negative Frames Matter in Egocentric Visual Query 2D Localization

  • 论文/Paper: http://arxiv.org/pdf/2208.01949
  • 代码/Code: https://github.com/facebookresearch/vq2d_cvpr

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