Web: http://arxiv.org/abs/2208.08631

Sept. 20, 2022, 1:13 a.m. | Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim

cs.CV updates on arXiv.org arxiv.org

We present a novel semi-supervised learning framework that intelligently
leverages the consistency regularization between the model's predictions from
two strongly-augmented views of an image, weighted by a confidence of
pseudo-label, dubbed ConMatch. While the latest semi-supervised learning
methods use weakly- and strongly-augmented views of an image to define a
directional consistency loss, how to define such direction for the consistency
regularization between two strongly-augmented views remains unexplored. To
account for this, we present novel confidence measures for pseudo-labels from
strongly-augmented …

arxiv confidence regularization semi-supervised semi-supervised learning supervised learning

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