Learning Topology-Aware Representations via Test-Time Adaptation for Anomaly Segmentation
By Ali Zia · Paper · cs.CV
Test-time adaptation (TTA) has emerged as a promising paradigm for mitigating distribution shifts in deep models. However, existing TTA approaches for anomaly segmentation remain limited by their reliance on pixel-level heuristics, such as confidence thresholding or entropy minim