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Meta Pseudo Labels

Hieu Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
IEEE Conference on Computer Vision and Pattern Recognition (2021)
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Abstract

We present Meta Pseudo Labels, a semi-supervised learning method that achieves a new state-of-the-art top-1 accuracy of 90.2% on ImageNet, which is 1.6% better than the existing state-of-the-art. Like Pseudo Labels, Meta Pseudo Labels has a teacher networ

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