Dual-Correction Adaptation Network for Noisy Knowledge Transfer

no code implementations • 10 Jul 2022 • Yunyun Wang, Weiwen Zheng, Songcan Chen

Previous unsupervised domain adaptation (UDA) methods aim to promote target learning via a single-directional knowledge transfer from label-rich source domain to unlabeled target domain, while its reverse adaption from target to source has not jointly been considered yet so far.

Transfer Learning Unsupervised Domain Adaptation