AI RESEARCH
ProCal: Probability Calibration for Neighborhood-Guided Source-Free Domain Adaptation
arXiv CS.CV
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ArXi:2603.18764v1 Announce Type: new Source-Free Domain Adaptation (SFDA) adapts pre-trained models to unlabeled target domains without requiring access to source data. Although state-of-the-art methods leveraging local neighborhood structures show promise for SFDA, they tend to over-rely on prediction similarity among neighbors. This over-reliance accelerates the forgetting of source knowledge and increases susceptibility to local noise overfitting. To address these issues, we