Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes

Sungha Choi, Seunghan Yang, Seokeon Choi +1

This paper proposes a novel test-time adaptation strategy that adjusts the model pre-trained on the source domain using only unlabeled online data from the target domain to allevia…