2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels
ICLR 2023top-25%
Recent state-of-the-art source-free domain adaptation (SFDA) methods have focused on learning meaningful cluster structures in the feature space, which have succeeded in adapting the knowledge from source domain to unlabeled target domain without accessing the private source data. However, existing…