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Learning Domain Invariant Representations for Generalizable Person Re-Identification. (arXiv:2103.15890v3 [cs.CV] UPDATED)
Jan. 13, 2022, 2:10 a.m. | Yi-Fan Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan
cs.LG updates on arXiv.org arxiv.org
Generalizable person Re-Identification (ReID) has attracted growing attention
in recent computer vision community. In this work, we construct a structural
causal model among identity labels, identity-specific factors (clothes/shoes
color etc), and domain-specific factors (background, viewpoints etc). According
to the causal analysis, we propose a novel Domain Invariant Representation
Learning for generalizable person Re-Identification (DIR-ReID) framework.
Specifically, we first propose to disentangle the identity-specific and
domain-specific feature spaces, based on which we propose an effective
algorithmic implementation for backdoor adjustment, essentially …
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