gaobb / few-shot-object-detection-papers-1

📄 A paper list of Few-shot Object Detection.

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

2020

• [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

2019

• [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

2018

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

2017

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