most citedUnsupervised domain adaptation via double classifiers based on high confidence pseudo label

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 2 cited

Unsupervised domain adaptation via double classifiers based on high confidence pseudo label

Huihuang Chen, Li Li, Jie Chen +1

Unsupervised domain adaptation (UDA) aims to solve the problem of knowledge transfer from labeled source domain to unlabeled target domain. Recently, many domain adaptation (DA) me…