Contrast and Clustering: Learning Neighborhood Pair Representation for Source-Free Domain Adaptation
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-Free Domain Adaptation
Unsupervised domain adaptation uses source data from different distributions to solve the problem of classifying data from unlabeled target domains. However, conventional methods require access to source data, which often raise concerns about data privacy. In this paper, we consider a more practical but challenging setting where the source domain …