MVMCAD combines a semi-frozen encoder, an anomaly amplification module, and a cross-feature loss to achieve state-of-the-art multi-view multi-class anomaly detection on Real-IAD.
Multi-view 3d object detection network for autonomous driving
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Learning Multi-view Multi-class Anomaly Detection
MVMCAD combines a semi-frozen encoder, an anomaly amplification module, and a cross-feature loss to achieve state-of-the-art multi-view multi-class anomaly detection on Real-IAD.