Conditional compatibility learning reframes anomaly detection as checking subject-context fit rather than global deviation, with CC-CLIP delivering state-of-the-art performance on contextual anomalies and competitive results on structural ones.
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Conditional Compatibility Learning for Context-Dependent Anomaly Detection
Conditional compatibility learning reframes anomaly detection as checking subject-context fit rather than global deviation, with CC-CLIP delivering state-of-the-art performance on contextual anomalies and competitive results on structural ones.