most citedCross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation

8 citations · 8 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 8 cited

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation

Zhekai Du, Jingjing Li, Hongzu Su +2

Unsupervised Domain Adaptation (UDA) aims to generalize the knowledge learned from a well-labeled source domain to an unlabeled target domain. Recently, adversarial domain adaptati…