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.

Data and Resources

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

DOI retrieved: December 16, 2024

Additional Info

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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