Unsupervised domain adaptive re-identification: Theory and practice
Pattern Recognition, pp. 1071732020.
Abstract We study the problem of unsupervised domain adaptive re-identification (re-ID) which is an active topic in computer vision but lacks a theoretical foundation. We first extend existing unsupervised domain adaptive classification theories to re-ID tasks. Concretely, we introduce some assumptions on the extracted feature space and...More
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