Contrastive Representation Modeling for Anomaly Detection

Willian T. Lunardi, Abdulrahman Banabila, Dania Herzalla +1

Distance-based anomaly detection methods rely on compact in-distribution (ID) embeddings that are well separated from anomalies. However, conventional contrastive learning strategi…