Search Results for author: Jianan Wu

Found 2 papers, 2 papers with code

Binocular Mutual Learning for Improving Few-shot Classification

1 code implementation ICCV 2021 Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang

From the perspective of class space on base set, existing methods either focus on utilizing all classes under a global view by normal pretraining, or pay more attention to adopt an episodic manner to train meta-tasks within few classes in a local view.

Classification Decision Making +1

DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection

1 code implementation ICCV 2021 Limeng Qiao, Yuxuan Zhao, Zhiyuan Li, Xi Qiu, Jianan Wu, Chi Zhang

Few-shot object detection, which aims at detecting novel objects rapidly from extremely few annotated examples of previously unseen classes, has attracted significant research interest in the community.

Classification Few-Shot Object Detection +1

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