few-shot object detection

Few-Shot Weakly-Supervised Object Detection via Directional Statistics WACV 2022 Kernelized Few-Shot Object Detection With Efficient Integral Aggregation CVPR 2022 Label, Verify, Correct: A Simple Few Shot Object Detection Method CVPR 2022 Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment AAAI 2022 Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection CVPR 2022 Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection CVPR 2021 DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection ICCV 2021 Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection CVPR 2021 Few-Shot Object Detection via Association and DIscrimination NeurIPS 2021 Few-Shot Object Detection via Classification Refinement and Distractor Retreatment CVPR 2021 FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding CVPR 2021 Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement NeurIPS 2021 Generalized Few-Shot Object Detection Without Forgetting CVPR 2021 Hallucination Improves Few-Shot Object Detection CVPR 2021 Morphable Detector for Object Detection on Demand ICCV 2021 Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks ICCV 2021 StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021 Transformation Invariant Few-Shot Object Detection CVPR 2021 Universal-Prototype Enhancing for Few-Shot Object Detection ICCV 2021 Context-Transformer: Tackling Object Confusion for Few-Shot Detection AAAI 2020 Incremental Few-Shot Object Detection CVPR 2020 Restoring Negative Information in Few-Shot Object Detection NeurIPS 2020 Few-Shot Object Detection via Feature Reweighting ICCV 2019 Meta-Learning to Detect Rare Objects ICCV 2019 RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection CVPR 2019