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Object Detection

  • [CVPR 2017] (paper code) AGA - Attribute-Guided Augmentation

    • Using external depth and pose informations
  • [AAAI 2018] (paper) LSTD: A Low-Shot Transfer Detector for Object Detection

  • [CVPR 2019] (paper) RepMet-Representative-based Metric Learning for Classification and Few-shot Object Detection

    • Representative learning
  • [CVPR 2019] (paper code) Few-shot Adaptive Faster R-CNN

    • Domain adaptation & Few-shot classification head
  • [ICCV 2019] (paper) Transductive Learning for Zero-Shot Object Detection Fixed Pseudo-label and Dynamic Pseudo-label

  • [ICCV 2019] (paper code) Few-shot Object Detection via Feature Reweighting

    • “Feature Reweighting” as weights & useful loss function
  • [NIPS 2019] (paper code) One-Shot Object Detection with Co-Attention and Co-Excitation

    • Non-local Operate & Squeeze and Excitation
  • [AAAI 2020] Context-Transformer: Tackling Object Confusion for Few-Shot Detection

  • [CVPR 2020] Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

  • [ICML 2020] (paper code) Frustratingly Simple Few-Shot Object Detection

  • [CVPR 2020 oral] Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

    • say fintune is outperform meta-learning methods
  • [ECML-PKDD 2020] Few-Shot Microscopy Image Cell Segmentation

  • [ECCV 2020] Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

  • [ECCV 2020] Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild

  • [ECCV 2020] Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

  • [NIPS 2020] Restoring Negative Information in Few-Shot Object Detection

  • [CVPR 2020] Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

  • [CVPR 2020] Incremental Few-Shot Object Detection

  • [AAAI 2021] (paper) StarNet: Towards Weakly Supervised Few-Shot Object Detection

  • [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] Generalized Few-Shot Object Detection without Forgetting