Qiuyan He

Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation

Universal domain adaptation (UniDA) transfers knowledge from a labelled source domain to an unlabelled target domain under domain-shift and category-shift for annotation. In reality, due to privacy protection or other limits, not only source data but also pre-trained models on it may be unavailable…