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Teacher-Student Competition for Unsupervised Domain Adaptation
With the supervision from source domain only in class-level, existing unsupervised domain adaptation (UDA) methods mainly learn the domain-invariant representations from a shared feature extractor, which causes the source-bias problem.
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