Web: http://arxiv.org/abs/2206.07700

June 16, 2022, 1:11 a.m. | Li Jing, Jiachen Zhu, Yann LeCun

cs.LG updates on arXiv.org arxiv.org

Self-supervised learning has shown superior performances over supervised
methods on various vision benchmarks. The siamese network, which encourages
embeddings to be invariant to distortions, is one of the most successful
self-supervised visual representation learning approaches. Among all the
augmentation methods, masking is the most general and straightforward method
that has the potential to be applied to all kinds of input and requires the
least amount of domain knowledge. However, masked siamese networks require
particular inductive bias and practically only work …

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