Unified Entropy Optimization for Open-Set Test-Time Adaptation

arXiv:2404.06065v1 Announce Type: new
Abstract: Test-time adaptation (TTA) aims at adapting a model pre-trained on the labeled source domain to the unlabeled target domain. Existing methods usually focus on improving TTA performance under covariate shifts, while neglecting semantic shifts. In this paper, we delve into a realistic open-set TTA setting where the target domain may contain samples from unknown classes. Many state-of-the-art closed-set TTA methods perform poorly when applied to open-set scenarios, which can be attributed to the inaccurate estimation …

arxiv cs.cv entropy optimization set test type