A paper list for few-shot object detection.
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[AAAI 2021] StarNet: towards Weakly Supervised Few-Shot Object Detection
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[CVPR 2021] Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection [code]
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[CVPR 2021] FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding [code]
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[CVPR 2021] Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
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[CVPR 2021] Few-Shot Object Detection via Classification Refinement and Distractor Retreatment
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[CVPR 2021] Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection [code]
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[CVPR 2021] Generalized Few-Shot Object Detection without Forgetting [code]
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[CVPR 2021] Hallucination Improves Few-Shot Object Detection [code]
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[ICCV 2021] Universal-Prototype Augmentation for Few-Shot Object Detection [code]
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[ICCV 2021] DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
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[MM 2021] Dual-awareness Attention for Few-Shot Object Detection [code]
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[arXiv] Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning
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[arXiv] Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
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[arXiv] Dynamic Relevance Learning for Few-Shot Object Detection
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[AAAI 2020] Context-Transformer: Tackling Object Confusion for Few-Shot Detection [code]
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[CVPR 2020] Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector [code]
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[CVPR 2020] Incremental Few-Shot Object Detection
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[ICML 2020] Frustratingly Simple Few-Shot Object Detection [code]
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[ECCV 2020] Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild [code]
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[ECCV 2020] Multi-Scale Positive Sample Refinement for Few-Shot Object Detection [code]
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[NeurIPS 2020] Restoring Negative Information in Few-Shot Object Detection
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[MM 2020] Meta-RCNN: Meta Learning for Few-Shot Object Detection
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[arXiv] Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
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[arXiv] Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images
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[arXiv] Closing the Generalization Gap in One-Shot Object Detection
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[arXiv] AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection
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[arXiv] MM-FSOD: Meta and metric integrated few-shot object detection
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[CVPR 2019] RepMet: Representative-based metric learning for classification and one-shot object detection [code]
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[CVPR 2019] Few-Shot Learning with Localization in Realistic Settings
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[ICCV 2019] Few-shot Object Detection via Feature Reweighting [code]
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[ICCV 2019] Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning [code]
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[ICCV 2019] Meta-Learning to Detect Rare Objects
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[ICME 2019] Few-shot Object Detection on Remote Sensing Images [code]
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[IEEE Access] Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection with Meta-Learning