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The summary of code and paper for few-shot learning in fine-grained recognition

Awesome-Fine-Grained-Few-Shot-Learning Awesome

A curated list of resources including papers, datasets, and relevant links about few-shot learning in fine-grained image/video recognition. Since both few-shot and fine-grained are very broad concepts, there are various experimental settings and research lines in the realm of fine-grained few-shot learning.

:running: We will keep updating it, please feel free to send me a PR! :running:

:triangular_flag_on_post: For detailed attention :scroll: For a quick review

Datasets Download

Image Classification

2024

:open_file_folder: Pub. Title Links
:triangular_flag_on_post: AAAI Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification Paper/Code
:triangular_flag_on_post: TMM Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition Paper/Code
:scroll: PR Re-abstraction and perturbing support pair network for few-shot fine-grained image classification Paper/Code
:scroll: PR Self-reconstruction network for fine-grained few-shot classification Paper/Code

2023

:open_file_folder: Pub. Title Links
:triangular_flag_on_post: AAAI Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification Paper/Code
:scroll: AAAI Dual Attention Networks for Few-Shot Fine-Grained Recognition Paper/Code
:triangular_flag_on_post: TCSVT Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Paper/Code
:scroll: TCSVT Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification Paper/Code
:triangular_flag_on_post: arXiv Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions Paper/Code

2022

:open_file_folder: Pub. Title Links
:scroll: arXiv Fine-grained Few-shot Recognition by Deep Object Parsing Paper/Code
:scroll: arXiv Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Paper/Code
:triangular_flag_on_post: MM Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Paper/Code
:scroll: AAAI Dual Attention Networks for Few-Shot Fine-Grained Recognition Paper/Code
:triangular_flag_on_post: CVPR Task Discrepancy Maximization for Fine-Grained Few-Shot Classification Paper/Code
:triangular_flag_on_post: PR Learning Attention-Guided Pyramidal Features for Few-shot Fine-grained Recognition Paper/Code
:scroll: PR Query-Guided Networks for Few-shot Fine-grained Classification and Person Search Paper/Code
:triangular_flag_on_post: TPAMI Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition Paper/Code

2021

:open_file_folder: Pub. Title Links
:scroll: arXiv NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification Paper/Code
:triangular_flag_on_post: arXiv Compositional Fine-Grained Low-Shot Learning Paper/Code
:triangular_flag_on_post: ICIP Coupled Patch Similarity Network For One-Shot Fine-Grained Image Recognition Paper/Code
:triangular_flag_on_post: ICME Selective, Structural, Subtle: Trilinear Spatial-Awareness for Few-Shot Fine-Grained Visual Recognition Paper/Code
:triangular_flag_on_post: CVPR Few-Shot Classification With Feature Map Reconstruction Networks Paper/Code
:triangular_flag_on_post: MM Object-aware long-short-range spatial alignment for few-shot fine-grained image classification Paper/Code
:triangular_flag_on_post: ICCV Variational Feature Disentangling for Fine-Grained Few-Shot Classification Paper/Code
:scroll: NC Fine-grained few shot learning with foreground object transformation Paper/Code
:scroll: KBS Few-shot fine-grained classification with Spatial Attentive Comparison Paper/Code
:triangular_flag_on_post: TPAMI Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification Paper/Code

2020

:open_file_folder: Pub. Title Links
:triangular_flag_on_post: CVPR Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition Paper/Code
:scroll: IJCAI Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition Paper/Code
:scroll: ICME Knowledge-Based Fine-Grained Classification For Few-Shot Learning Paper/Code
:scroll: TIE Few-Shot Learning for Domain-Specific Fine-Grained Image Classification Paper/Code
:scroll: TMM Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification Paper/Code
:triangular_flag_on_post: TIP BSNet: Bi-similarity network for few-shot fine-grained image classification Paper/Code
:scroll: ACL Shaping Visual Representations with Language for Few-shot Classification Paper/Code
:triangular_flag_on_post: NeurIPS Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition Paper/Code

2019

:open_file_folder: Pub. Title Links
:scroll: ICME Compare More Nuanced: Pairwise Alignment Bilinear Network for Few-Shot Fine-Grained Learning Paper/Code
:triangular_flag_on_post: TIP Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples Paper/Code

Video Classification

2021

:open_file_folder: Pub. Title Links
:triangular_flag_on_post: MM Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning Paper/Code

2023

:open_file_folder: Pub. Title Links
:triangular_flag_on_post: MM M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition Paper/Code

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The summary of code and paper for few-shot learning in fine-grained recognition

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