A paper list for few-shot object detection.
- [arXiv] An Empirical Study and Comparison of Recent Few-Shot Object Detection Algorithms
- [arXiv] A Unified Framework for Attention-Based Few-Shot Object Detection [code]
- [AAAI] StarNet: towards Weakly Supervised Few-Shot Object Detection
- [ACCESS] Few-Shot Object Detection via Sample Processing
- [ACM MM] AFD-Net: Adaptive Fully-Dual Network for Few-Shot Object Detection
- [ACM MM] Dual-awareness Attention for Few-Shot Object Detection [code]
- [CVPR] Accurate Few-shot Object Detection with Support-Query Mutual Guidance and Hybrid Loss
- [CVPR] Adaptive Image Transformer for One-Shot Object Detection
- [CVPR] Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection [code]
- [CVPR] Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection [code]
- [CVPR] Few-Shot Object Detection via Classification Refinement and Distractor Retreatment
- [CVPR] FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding [code]
- [CVPR] Generalized Few-Shot Object Detection without Forgetting [code]
- [CVPR] Hallucination Improves Few-Shot Object Detection [code]
- [CVPR] Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection
- [CVPR] Transformation Invariant Few-Shot Object Detection
- [CVPR] UniT: Unified Knowledge Transfer for Any-shot Object Detection and Segmentation [code]
- [ICCV] DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection [code]
- [ICCV] Double Head Predictor based Few-Shot Object Detection for Aerial Imagery [code]
- [ICCV] Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks [code]
- [ICCV] Universal-Prototype Augmentation for Few-Shot Object Detection [code]
- [ICMLA] Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
- [JSTARS] Few-Shot Object Detection With Self-Adaptive Attention Network for Remote Sensing Images
- [NeurIPS] Few-Shot Object Detection via Association and DIscrimination [code]
- [NeurIPS] Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement [code]
- [RS] Few-Shot Object Detection on Remote Sensing Images via Shared Attention Module and Balanced Fine-Tuning Strategy
- [TMM] Dual-Awareness Attention for Few-Shot Object Detection
- [arXiv] A Comparative Review of Recent Few-Shot Object Detection Algorithms
- [arXiv] A Survey of Self-Supervised and Few-Shot Object Detection
- [arXiv] Class-Incremental Few-Shot Object Detection
- [arXiv] Dynamic Relevance Learning for Few-Shot Object Detection
- [arXiv] Few-Shot Object Detection: A Survey
- [arXiv] Meta-DETR: Few-Shot Object Detection via Unified Image-Level Meta-Learning [code]
- [arXiv] Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment
- [arXiv] Plug-and-Play Few-shot Object Detection with Meta Strategy and Explicit Localization Inference
- [arXiv] Towards Generalized and Incremental Few-Shot Object Detection
- [AAAI] Context-Transformer: Tackling Object Confusion for Few-Shot Detection [code]
- [ACM MM] Meta-RCNN: Meta Learning for Few-Shot Object Detection
- [CVPR] Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector [code]
- [CVPR] Incremental Few-Shot Object Detection
- [ECCV] Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild [code]
- [ECCV] Multi-Scale Positive Sample Refinement for Few-Shot Object Detection [code]
- [ICML] Frustratingly Simple Few-Shot Object Detection [code]
- [NeurIPS] Restoring Negative Information in Few-Shot Object Detection [code]
- [TGRS] Few-shot Object Detection on Remote Sensing Images [code]
- [arXiv] Closing the Generalization Gap in One-Shot Object Detection
- [arXiv] Cooperating RPN's Improve 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] Learning from Very Few Samples: A Survey
- [arXiv] Leveraging Bottom-Up and Top-Down Attention for Few-Shot Object Detection
- [arXiv] MM-FSOD: Meta and metric integrated few-shot object detection
- [arXiv] One-Shot Object Detection without Fine-Tuning [code]
- [arXiv] Top-Related Meta-Learning Method for Few-Shot Detection
- [Access] Meta-SSD: Towards Fast Adaptation for Few-Shot Object Detection with Meta-Learning
- [CVPR] Few-Shot Learning with Localization in Realistic Settings
- [CVPR] RepMet: Representative-based metric learning for classification and one-shot object detection [code]
- [ICCV] Few-shot Object Detection via Feature Reweighting [code]
- [ICCV] Meta-Learning to Detect Rare Objects
- [ICCV] Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning [code]