A paper list of few-shot object detection.

1. [CVPR 2021] Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection

2. [CVPR 2021] FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

3. [CVPR 2021] Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection

4. [CVPR 2021] Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection

5. [arXiv 2102] Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection

6. [arXiv 2103] Universal-Prototype Augmentation for Few-Shot Object Detection

7. [arXiv 2103] Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection

8. [arXiv 2103] Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning

1. [CVPR 2020] Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector

   • code

2. [CVPR 2020] Incremental Few-Shot Object Detection

3. [ICML 2020] Frustratingly Simple Few-Shot Object Detection

   • code

4. [ECCV 2020] Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

   • code

5. [ECCV 2020] Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

   • code

6. [AAAI 2020] Context-Transformer: Tackling Object Confusion for Few-Shot Detection

   • code

7. [MM 2020] Meta-RCNN: Meta Learning for Few-Shot Object Detection

8. [NeurIPS 2020] Restoring Negative Information in Few-Shot Object Detection

9. [arXiv 2003] StarNet: towards Weakly Supervised Few-Shot Object Detection

10. [arXiv 2003] Any-Shot Object Detection

11. [arXiv 2005] Low-shot Object Detection via Classification Refinement]

12. [arXiv 2006] Weakly-supervised Any-shot Object Detection

13. [arXiv 2007] Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection

14. [arXiv 2008] Few-Shot Object Detection via Knowledge Transfer

15. [arXiv 2009] Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images

16. [arXiv 2011] Closing the Generalization Gap in One-Shot Object Detection

17. [arXiv 2011] Cooperating RPN's Improve Few-Shot Object Detection

18. [arXiv 2011] AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection

19. [arXiv 2012] MM-FSOD: Meta and metric integrated few-shot object detection

1. [CVPR 2019] RepMet: Representative-based metric learning for classification and one-shot object detection

   • code

2. [CVPR 2019] Few-shot Adaptive Faster R-CNN

3. [CVPR 2019] Few-Shot Learning with Localization in Realistic Settings

4. [ICCV 2019] Few-shot Object Detection via Feature Reweighting

   • code

5. [ICCV 2019] Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning

   • code

6. [ICCV 2019] Meta-Learning to Detect Rare Objects

7. [ICCV 2019] SILCO: Show a Few Images, Localize the Common Object

   • code

8. [IEEE Access] Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection with Meta-Learning

1. [AAAI 2018] LSTD: A Low-Shot Transfer Detector for Object Detection

1. [PAMI 2017] Few-Example Object Detection with Model Communication