Zeroth- and first-order difference discrimination for unsupervised domain adaptation
Abstract Unsupervised domain adaptation transfers empirical knowledge from a label-rich source domain to a fully unlabeled target domain with a different distribution.A core idea of many existing approaches is to reduce the distribution divergence between domains.However, they focused only on part of the discrimination, which can be categorized int