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

Paper
Code

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.

Ranked #4 on Few-Shot Object Detection on MS-COCO (1-shot)

Classification Few-Shot Object Detection +1

177

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Code

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