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To unify logical and structural anomaly detection, we propose three complementary strategies:
- Retain patch-level image features to construct a patch-level image memory bank
$M_P$ , thereby preserving the model’s capability to detect structural anomalies. - Introduce a logic-aware textual description of images to significantly enhance logical anomalies detection of unified anomaly detection frameworks by constructing a class-level text memory bank
$M_T$ . - Introduce object-level image features from segmented images to build an object-level image memory bank
$M_O$ , which compensates for the inability of patch-level features to fully capture the shape and structure of individual objects.