Few-shot Object Detection Papers

A paper list for few-shot object detection.

2021

[AAAI 2021] StarNet: towards Weakly Supervised Few-Shot Object Detection
[CVPR 2021] Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection [code]
[CVPR 2021] FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding [code]
[CVPR 2021] Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
[CVPR 2021] Few-Shot Object Detection via Classification Refinement and Distractor Retreatment
[CVPR 2021] Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection [code]
[CVPR 2021] Generalized Few-Shot Object Detection without Forgetting [code]
[CVPR 2021] Hallucination Improves Few-Shot Object Detection [code]
[ICCV 2021] Universal-Prototype Augmentation for Few-Shot Object Detection [code]
[ICCV 2021] DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
[MM 2021] Dual-awareness Attention for Few-Shot Object Detection [code]
[arXiv] Meta-DETR: Few-Shot Object Detection via Uniﬁed Image-Level Meta-Learning
[arXiv] Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
[arXiv] Class-Incremental Few-Shot Object Detection
[arXiv] Dynamic Relevance Learning for Few-Shot Object Detection

[AAAI 2020] Context-Transformer: Tackling Object Confusion for Few-Shot Detection [code]
[CVPR 2020] Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector [code]
[CVPR 2020] Incremental Few-Shot Object Detection
[ICML 2020] Frustratingly Simple Few-Shot Object Detection [code]
[ECCV 2020] Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild [code]
[ECCV 2020] Multi-Scale Positive Sample Refinement for Few-Shot Object Detection [code]
[NeurIPS 2020] Restoring Negative Information in Few-Shot Object Detection
[MM 2020] Meta-RCNN: Meta Learning for Few-Shot Object Detection
[arXiv] Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
[arXiv] Few-Shot Object Detection via Knowledge Transfer
[arXiv] Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images
[arXiv] Closing the Generalization Gap in One-Shot Object Detection
[arXiv] Cooperating RPN's Improve Few-Shot Object Detection
[arXiv] AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection
[arXiv] MM-FSOD: Meta and metric integrated few-shot object detection

[CVPR 2019] RepMet: Representative-based metric learning for classification and one-shot object detection [code]
[CVPR 2019] Few-Shot Learning with Localization in Realistic Settings
[ICCV 2019] Few-shot Object Detection via Feature Reweighting [code]
[ICCV 2019] Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning [code]
[ICCV 2019] Meta-Learning to Detect Rare Objects
[ICME 2019] Few-shot Object Detection on Remote Sensing Images [code]
[IEEE Access] Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection with Meta-Learning