Awesome-Fine-Grained-Few-Shot-Learning
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.
🏃 We will keep updating it, please feel free to send me a PR! 🏃
🚩 For detailed attention
📜 For a quick review
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Pub.
Title
Links
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MM
Channel-Spatial Support-Query Cross-Attention for Fine-Grained Few-Shot Image Classification
Paper /Code
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MM
Bi-directional Task-Guided Network for Few-Shot Fine-Grained Image Classification
Paper /Code
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AAAI
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification
Paper /Code
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TPAMI
Bi-Directional Ensemble Feature Reconstruction Network for Few-Shot Fine-Grained Classification
Paper /Code
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TIP
Angular Isotonic Loss Guided Multi-Layer Integration for Few-Shot Fine-Grained Image Classification
Paper /Code
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TMM
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
Paper /Code
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TMM
Robust Saliency-Aware Distillation for Few-shot Fine-grained Visual Recognition
Paper /Code
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PR
Re-abstraction and perturbing support pair network for few-shot fine-grained image classification
Paper /Code
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PR
Self-reconstruction network for fine-grained few-shot classification
Paper /Code
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Pub.
Title
Links
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AAAI
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
Paper /Code
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AAAI
Dual Attention Networks for Few-Shot Fine-Grained Recognition
Paper /Code
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TCSVT
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment
Paper /Code
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TCSVT
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification
Paper /Code
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arXiv
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot Conditions
Paper /Code
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Pub.
Title
Links
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arXiv
Fine-grained Few-shot Recognition by Deep Object Parsing
Paper /Code
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arXiv
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
Paper /Code
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MM
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Paper /Code
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AAAI
Dual Attention Networks for Few-Shot Fine-Grained Recognition
Paper /Code
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CVPR
Task Discrepancy Maximization for Fine-Grained Few-Shot Classification
Paper /Code
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PR
Learning Attention-Guided Pyramidal Features for Few-shot Fine-grained Recognition
Paper /Code
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PR
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Paper /Code
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TPAMI
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
Paper /Code
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Pub.
Title
Links
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arXiv
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification
Paper /Code
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arXiv
Compositional Fine-Grained Low-Shot Learning
Paper /Code
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ICIP
Coupled Patch Similarity Network For One-Shot Fine-Grained Image Recognition
Paper /Code
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ICME
Selective, Structural, Subtle: Trilinear Spatial-Awareness for Few-Shot Fine-Grained Visual Recognition
Paper /Code
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CVPR
Few-Shot Classification With Feature Map Reconstruction Networks
Paper /Code
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MM
Object-aware long-short-range spatial alignment for few-shot fine-grained image classification
Paper /Code
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ICCV
Variational Feature Disentangling for Fine-Grained Few-Shot Classification
Paper /Code
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NC
Fine-grained few shot learning with foreground object transformation
Paper /Code
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KBS
Few-shot fine-grained classification with Spatial Attentive Comparison
Paper /Code
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TPAMI
Power Normalizations in Fine-Grained Image, Few-Shot Image and Graph Classification
Paper /Code
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Pub.
Title
Links
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CVPR
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Paper /Code
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IJCAI
Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition
Paper /Code
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ICME
Knowledge-Based Fine-Grained Classification For Few-Shot Learning
Paper /Code
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TIE
Few-Shot Learning for Domain-Specific Fine-Grained Image Classification
Paper /Code
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TMM
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Paper /Code
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TIP
BSNet: Bi-similarity network for few-shot fine-grained image classification
Paper /Code
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ACL
Shaping Visual Representations with Language for Few-shot Classification
Paper /Code
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NeurIPS
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
Paper /Code
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Pub.
Title
Links
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ICME
Compare More Nuanced: Pairwise Alignment Bilinear Network for Few-Shot Fine-Grained Learning
Paper /Code
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TIP
Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples
Paper /Code
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Pub.
Title
Links
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MM
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention and Contrastive Meta-Learning
Paper /Code
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Pub.
Title
Links
🚩
MM
M$^3$Net: Multi-view Encoding, Matching, and Fusion for Few-shot Fine-grained Action Recognition
Paper /Code