# Few shot object detection papers (2018~2021) 2021 [CVPR 2021] Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection [CVPR 2021] FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding [CVPR 2021] Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection [CVPR 2021] Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection [arXiv 2102] Should I Look at the Head or the Tail? Dual-awareness Attention for Few-Shot Object Detection [arXiv 2103] Universal-Prototype Augmentation for Few-Shot Object Detection [arXiv 2103] Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection [arXiv 2103] Meta-DETR: Few-Shot Object Detection via Uniļ¬ed Image-Level Meta-Learning 2020 [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 Wildcode [ECCV 2020] Multi-Scale Positive Sample Refinement for Few-Shot Object Detection code [AAAI 2020] Context-Transformer: Tackling Object Confusion for Few-Shot Detection code [MM 2020] Meta-RCNN: Meta Learning for Few-Shot Object Detection [NeurIPS 2020] Restoring Negative Information in Few-Shot Object Detection [arXiv 2003] StarNet: towards Weakly Supervised Few-Shot Object Detection [arXiv 2003] Any-Shot Object Detection [arXiv 2005] Low-shot Object Detection via Classification Refinement] [arXiv 2006] Weakly-supervised Any-shot Object Detection [arXiv 2007] Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection [arXiv 2008] Few-Shot Object Detection via Knowledge Transfer [arXiv 2009] Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images [arXiv 2011] Closing the Generalization Gap in One-Shot Object Detection [arXiv 2011] Cooperating RPN's Improve Few-Shot Object Detection [arXiv 2011] AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection [arXiv 2012] MM-FSOD: Meta and metric integrated few-shot object detection 2019 [CVPR 2019] RepMet: Representative-based metric learning for classification and one-shot object detectioncode [CVPR 2019] Few-shot Adaptive Faster R-CNN [CVPR 2019] Few-Shot Learning with Localization in Realistic Settings [ICCV 2019] Few-shot Object Detection via Feature Reweightingcode [ICCV 2019] Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning code [ICCV 2019] Meta-Learning to Detect Rare Objects [ICCV 2019] SILCO: Show a Few Images, Localize the Common Objectcode [IEEE Access] Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection with Meta-Learning 2018 [AAAI 2018] LSTD: A Low-Shot Transfer Detector for Object Detection