| multi-class-anomaly-detection-on-mvtec-ad | Dinomaly-Large | #2 | Detection AUROC: 99.8Segmentation AUROC: 98.5 |
| multi-class-anomaly-detection-on-mvtec-ad | Dinomaly-Base | #5 | Detection AUROC: 99.6Segmentation AUROC: 98.4 |
| multi-class-anomaly-detection-on-visa-unified-multi-class | Dinomaly ViT-Base (20k iterations) | #2 | Detection AUROC: 98.9Detection F1-max: 96.4 |
| multi-class-anomaly-detection-on-visa-unified-multi-class | Dinomaly ViT-Large | #6 | Segmentation AUROC: 99.10Segmentation F1-max: 57.33 |
| multi-class-anomaly-detection-on-real-iad-unified-multi-class | Dinomaly (DINOv2-R ViT-Large/14) (extra data) | #3 | Detection AUROC: 90.07Segmentation AP: 44.29Detection F1-max: 80.90… |
| multi-class-anomaly-detection-on-real-iad-unified-multi-class | Dinomaly ViT-Large | #4 | Detection AUROC: 90.07Segmentation AP: 44.29Detection F1-max: 80.90… |
| anomaly-detection-on-mpdd | Dinomaly | #5 | Detection AUROC: 97.2Segmentation AUROC: 99.1 |
| anomaly-detection-on-visa | Dinomaly ViT-L (model-unified multi-class) | #5 | Detection AUROC: 98.9Segmentation AUPRO (until 30% FPR): 94.8… |
| anomaly-detection-on-mvtec-ad | Dinomaly ViT-L (model-unified multi-class) | #9 | Detection AUROC: 99.77Segmentation AUPRO: 95.09… |
| anomaly-detection-on-mvtec-ad | Dinomaly ViT-B (model-unified multi-class) | #23 | Detection AUROC: 99.60Segmentation AUPRO: 94.79… |