Web: http://arxiv.org/abs/2209.07811

Sept. 19, 2022, 1:14 a.m. | Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong

cs.CV updates on arXiv.org arxiv.org

While self-supervised learning techniques are often used to mining implicit
knowledge from unlabeled data via modeling multiple views, it is unclear how to
perform effective representation learning in a complex and inconsistent
context. To this end, we propose a methodology, specifically consistency and
complementarity network (CoCoNet), which avails of strict global inter-view
consistency and local cross-view complementarity preserving regularization to
comprehensively learn representations from multiple views. On the global stage,
we reckon that the crucial knowledge is implicitly shared among …

arxiv global modeling

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