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End-to-End Semi-Supervised Object Detection with Soft Teacher

The proposed end-to-end pseudo-label based semi-supervised object detection framework, which simultaneously performs pseudo-labeling for unlabelled images and trains a detector using these pseudo labels along with a few labeled ones at each iteration.

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Cite this as

Mengde Xu, Zheng Zhang, Han Hu, Xiang Bai, Jianfeng Wang, Zicheng Liu, Lijuan Wang, Fangyun Wei (2024). Dataset: End-to-End Semi-Supervised Object Detection with Soft Teacher. https://doi.org/10.57702/ii43gqib

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Author	Mengde Xu
More Authors	Zheng Zhang Han Hu Xiang Bai Jianfeng Wang Zicheng Liu Lijuan Wang Fangyun Wei
Homepage	https://github.com/microsoft/SoftTeacher