Web: http://arxiv.org/abs/2205.04771

May 11, 2022, 1:10 a.m. | Haiyang Yang, Meilin Chen, Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang

cs.CV updates on arXiv.org arxiv.org

Generalizing learned representations across significantly different visual
domains is a fundamental yet crucial ability of the human visual system. While
recent self-supervised learning methods have achieved good performances with
evaluation set on the same domain as the training set, they will have an
undesirable performance decrease when tested on a different domain. Therefore,
the self-supervised learning from multiple domains task is proposed to learn
domain-invariant features that are not only suitable for evaluation on the same
domain as the training …

arxiv cv learning self-supervised learning supervised learning

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