Multiprototype representation and controllable anomaly generation for industrial anomaly detection
To address the issues of poor generalization with limited samples, lack of directional guidance, and insufficient diversity in anomaly synthesis for unsupervised industrial anomaly detection, this paper proposes a detection method based on multi-prototype representation and controllable anomaly generation. Methodologic...