CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization

CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization For a long time, anomaly localization has been widely used in industries. Previous studies focused on approximating the distribution of normal features without adaptation to a target dataset. However, since anomaly localization should precisely discriminate normal and abnormal features, the absence of adaptation may make the normality of abnormal features overestimated. Thus, we propose Coupled-hyperspher...