The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Benchmark Model Rank Results
3d-anomaly-detection-and-segmentation-on-mvtecVoxel AE#8Detection AUROC: 0.699
3d-anomaly-detection-and-segmentation-on-mvtecVoxel VM#9Detection AUROC: 0.571
3d-anomaly-detection-and-segmentation-on-mvtecVoxel GAN#10Detection AUROC: 0.537
depth-anomaly-detection-and-segmentation-onDepth VM#11Segmentation AUPRO: 0.374Detection AUROC: 0.546
depth-anomaly-detection-and-segmentation-onDepth AE#12Segmentation AUPRO: 0.203Detection AUROC: 0.546
depth-anomaly-detection-and-segmentation-onDepth GAN#13Segmentation AUPRO: 0.143Detection AUROC: 0.523
rgb-3d-anomaly-detection-and-segmentation-onVoxel VM#7Detection AUCROC: 0.609Segmentation AUPRO: 0.471
rgb-3d-anomaly-detection-and-segmentation-onVoxel AE#8Detection AUCROC: 0.538Segmentation AUPRO: 0.564
rgb-3d-anomaly-detection-and-segmentation-onVoxel GAN#9Detection AUCROC: 0.517Segmentation AUPRO: 0.639