- Class-Incremental Few-Shot Object Detection [paper]
- Towards Generalized and Incremental Few-Shot Object Detection [paper]
- A Survey of Deep Learning for Low-Shot Object Detection [paper]
- Incremental Few-Shot Learning via Implanting and Compressing [paper]
- Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving [paper]
- Incremental Few-Shot Object Detection via Simple Fine-Tuning Approach (ICRA 2023) [paper] [code]
- Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning (AAAI 2023) [paper] [code]
- Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection (CVPR 2022) [paper] [code]
- Incremental Few-Shot Object Detection for Robotics (ICRA 2022) [paper]
- Incremental Few-Shot Object Detection via Knowledge Transfer (Pattern Recognition Letters 2022) [paper]
- Meta-Learning Based Incremental Few-Shot Object Detection (TCSVT 2022) [paper] [code]
- iFS-RCNN: An Incremental Few-shot Instance Segmenter (CVPR 2022) [paper] [code]
- Few-Shot Batch Incremental Road Object Detection via Detector Fusion (ICCV Workshop 2021) [paper]
- Incremental Few-Shot Instance Segmentation (CVPR 2021) [paper] [code]
- Generalized Few-Shot Object Detection Without Forgetting (CVPR 2021) [paper] [code]
- Incremental Few-Shot Object Detection (CVPR 2020) [paper]
- Frustratingly Simple Few-Shot Object Detection (ICML 2020) [paper] [code]
- Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild (ECCV 2020) [paper] [code]
- Multi-Scale Positive Sample Refinement for Few-Shot Object Detection (ECCV 2020) [paper] [code]
- Context-Transformer: Tackling Object Confusion for Few-Shot Detection (AAAI 2020) [paper] [code]
- Few-shot Object Detection via Feature Reweighting (ICCV 2019) [paper] [code]
- Meta R-CNN: Towards General Solver for Instance-level Few-shot Learning (ICCV 2019) [paper] [code]
- LVIS: A Dataset for Large Vocabulary Instance Segmentation (CVPR 2019) [paper] [dataset]
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (NIPS 2015) [paper] [code]
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