Track the trend of few-shot object detection.
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[CVPR oral] FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding paper code
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[arXiv] CAT: Cross-Attention Transformer for One-Shot Object Detection paper
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[arXiv] Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection paper code
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[arVix] Dynamic Relevance Learning for Few-Shot Object Detection paper code
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[arVix] A Survey of Self-Supervised and Few-Shot Object Detection paper
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[ICML] Frustratingly Simple Few-Shot Object Detection paper code
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[CVPR] Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector paper code
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[ECCV] Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild paper code
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[ECCV] Multi-scale Positive Sample Refinement for Few-shot Object Detection paper code
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[AAAI] Context-Transformer: Tackling Object Confusion for Few-Shot Detection paper code
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- "In all, we construct a dataset of 1000 categories with very clear category split for training and testing, where 531 categories come from ImageNet Dataset and 469 from Open Image Dataset."
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- "a large-scale video dataset FSVOD-500 comprising of 500 classes with class-balanced videos in each category for few-shot learning"
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- a website you can query with key word 'few-shot'.
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- a github repository contains a paper list of few-shot object detection paper.