Zhaoxin Ji

Self-Training Domain Adaptation Via Weight Transmission Between Generators

Unsupervised domain adaptation (UDA) aims to transfer knowledge from the labeled source domain to the fully-unlabeled target domain, thus improving the classification performance of the target domain. Recently, self-training has shown its effectiveness on UDA. However, the feature space for generati…