Mean Teacher
Mean Teacher is a semi-supervised learning framework that employs an exponentially moving average of model weights from student iterations to define a consistent teacher model, thereby improving pseudo-label stability and model regularization through teacher-student co-training.
90
Publications
6.8K
Citations
381
Authors
155
Institutions
Publications per year
2017–2026
84
Parents
90
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai, Yingwei Pan, Chong‐Wah Ngo et al. · 2019 · 357 citations
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Duowen Chen, Qingli Li, Wei Shen et al. · 2023 · 352 citations
Unbiased Mean Teacher for Cross-domain Object Detection
Jinhong Deng, Li Wen, Yuhua Chen et al. · 2021 · 347 citations
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155

University of Electronic Science and Technology of China
Chengdu, China
6 h-index
17 publications
1.8K citations
University of Science and Technology of China
Hefei, China
6 h-index
18 publications
1.5K citations

Sichuan University
Chengdu, China
4 h-index
10 publications
1K citations

Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
412 citations

Central South University
Changsha, China
4 h-index
30 publications
2.3K citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
15 publications
761 citations
University of Chinese Academy of Sciences
Beijing, China
4 h-index
7 publications
201 citations

Peking University
Beijing, China
3 h-index
5 publications
425 citations
1–8 of 155
Repository · 15 publications · 1.9K citations
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Conference · 4 publications · 285 citations
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3 publications · 127 citations
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4 publications · 141 citations
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Conference · 2 publications · 380 citations
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