A shared-parameter RGB-plus-depth network trained with multi-scale Gaussian and texture anomaly generators reaches 99.3% I-AUROC and 97.7% P-AUPRO on MVTec-3D AD, and 95.8% I-AUROC on Eyecandies.
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BridgeNet: A Unified Multimodal Framework for Bridging 2D and 3D Industrial Anomaly Detection
A shared-parameter RGB-plus-depth network trained with multi-scale Gaussian and texture anomaly generators reaches 99.3% I-AUROC and 97.7% P-AUPRO on MVTec-3D AD, and 95.8% I-AUROC on Eyecandies.