| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MMAD | Anomaly Discrimination95.24 | 30 | 4mo ago | ||
| MMAD one-shot 1.0 (test) | Anomaly Discrimination Score95.24 | 29 | 4mo ago | ||
| DAGM (test) | GLLS | Accuracy97.48 | 22 | 18d ago | |
| DTD (test) | IAD-R1 | Accuracy96.2 | 22 | 18d ago | |
| MPDD (test) | GLLS | Accuracy80.23 | 22 | 18d ago | |
| M3-AD Average | QWEN-3-VL-INSTRUCT | Accuracy80.6 | 21 | 4mo ago | |
| M3-AD Electronic | QWEN-3-VL-INSTRUCT | Accuracy79.1 | 21 | 4mo ago | |
| M3-AD Workpiece | QWEN-3-VL-INSTRUCT | Accuracy74.3 | 21 | 4mo ago | |
| M3-AD Texture | QWEN-3-VL-INSTRUCT | Accuracy91.2 | 21 | 4mo ago | |
| MVTec, MPDD, VisA, DTD, and SDD Aggregate | IndusAgent | Balanced Accuracy83.4 | 19 | 2mo ago | |
| SDD | IndusAgent | Balanced Accuracy88.9 | 19 | 2mo ago | |
| DTD | IndusAgent | Balanced Accuracy95.6 | 19 | 2mo ago | |
| VisA | IndusAgent | Balanced Accuracy76.8 | 19 | 2mo ago | |
| MPDD | IndusAgent | Balanced Accuracy72.7 | 19 | 2mo ago | |
| MVTec AD | IndusAgent | Balanced Accuracy83.6 | 19 | 2mo ago | |
| Industrial Anomaly Detection Baselines | ViTAD | FPS115 | 13 | 2mo ago | |
| MMVIAD Unseen | Defect Detection Accuracy88.5 | 13 | 2mo ago | ||
| MMVIAD Standard | Defect Detection91.2 | 13 | 2mo ago | ||
| MVTec-3D AD (test) | GPAD | Mean I-AUROC98.9 | 7 | 4mo ago | |
| HSS-IAD (unified) | CRR | Image-level AUROC80.4 | 7 | 4mo ago | |
| Real-IAD (unified) | CRR | Image AUROC91.3 | 7 | 4mo ago | |
| MVTec-AD (unified) | CRR | Image AUROC99.7 | 7 | 4mo ago | |
| MVTec | IndusAgent | F1 Score89.8 | 4 | 2mo ago | |
| MPDD | IndusAgent | F1-score78.2 | 4 | 2mo ago | |
| DTD | IndusAgent | F1-score96.1 | 4 | 2mo ago |
