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cs.CV2022
Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models
JoonHo Lee, Gyemin Lee
Unsupervised domain adaptation (UDA) aims to improve the prediction performance in the target domain under distribution shifts from the source domain. The key principle of UDA is t…
cs.CV2022★ 2 cited
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation
JoonHo Lee, Gyemin Lee
Most unsupervised domain adaptation (UDA) methods assume that labeled source images are available during model adaptation. However, this assumption is often infeasible owing to con…