By storing per-task key-prompt-multimodal knowledge and applying structure-based contrastive learning, MTRMB reports higher continual anomaly detection accuracy and lower forgetting than prior methods on MVTec AD and VisA.
Towards continual adapta- tion in industrial anomaly detection,
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Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection
By storing per-task key-prompt-multimodal knowledge and applying structure-based contrastive learning, MTRMB reports higher continual anomaly detection accuracy and lower forgetting than prior methods on MVTec AD and VisA.