| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MMAD | Anomaly Discrimination95.24 | 30 | 1mo ago | ||
| MMAD one-shot 1.0 (test) | Anomaly Discrimination Score95.24 | 29 | 1mo ago | ||
| M3-AD Average | QWEN-3-VL-INSTRUCT | Accuracy80.6 | 21 | 1mo ago | |
| M3-AD Electronic | QWEN-3-VL-INSTRUCT | Accuracy79.1 | 21 | 1mo ago | |
| M3-AD Workpiece | QWEN-3-VL-INSTRUCT | Accuracy74.3 | 21 | 1mo ago | |
| M3-AD Texture | QWEN-3-VL-INSTRUCT | Accuracy91.2 | 21 | 1mo ago | |
| MVTec-3D AD (test) | GPAD | Mean I-AUROC98.9 | 7 | 24d ago | |
| HSS-IAD (unified) | CRR | Image-level AUROC80.4 | 7 | 1mo ago | |
| Real-IAD (unified) | CRR | Image AUROC91.3 | 7 | 1mo ago | |
| MVTec-AD (unified) | CRR | Image AUROC99.7 | 7 | 1mo ago | |
| MVTec-Ref (test) | DQFormer | Image-AUC97.36 | 4 | 1mo ago | |
| Wind Turbine dataset | SEMAS | Latency (ms)0.3 | 3 | 1mo ago | |
| Boiler dataset | SEMAS | Latency (ms)1.22 | 3 | 1mo ago | |
| AeBAD-S (test) | RD | Throughput (image/s)190.4 | 3 | 1mo ago | |
| Wind Turbine | SEMAS | Delta F1 Score0.0222 | 2 | 1mo ago | |
| Boiler | SEMAS | ΔF10.0384 | 2 | 1mo ago | |
| MVTec AD (test) | DiffuseDefect | Acc91 | 1 | 1mo ago |
