MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation

no code implementations • CVPR 2023 • Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin

Source free domain adaptation (SFDA) aims to transfer a trained source model to the unlabeled target domain without accessing the source data.

Active Learning Source-Free Domain Adaptation

Active Source Free Domain Adaptation

no code implementations • 22 May 2022 • Fan Wang, Zhongyi Han, Zhiyan Zhang, Yilong Yin

We then propose minimum happy points learning (MHPL) to actively explore and exploit MH points.

Source-Free Domain Adaptation