| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Anomaly Detection | MSL | Precision87.5 | 39 | |
| Time Series Anomaly Detection | MSL | VUS-ROC0.8157 | 32 | |
| Anomaly Detection | MSL | F1 Score94.08 | 27 | |
| Time-Series Anomaly Detection | MSL (test) | F1-@K22.13 | 24 | |
| Multivariate Time Series Anomaly Detection | MSL | Precision92.07 | 24 | |
| Anomaly Detection | MSL | F194.08 | 23 | |
| Anomaly Detection | MSL | Precision85.51 | 21 | |
| Anomaly Detection | MSL | Precision92.25 | 20 | |
| Time Series Anomaly Detection | MSL | Precision93.08 | 19 | |
| Anomaly Detection | MSL 44 (test) | F1 Score85.03 | 16 | |
| Anomaly detection | MSL (test) | Precision89.66 | 16 | |
| Anomaly Detection | MSL | F1-score85.03 | 14 | |
| Anomaly Detection | MSL | Training Time (s)3.27 | 11 | |
| Time Series Anomaly Detection | MSL | Affine Precision68.7 | 9 | |
| Anomaly Detection | MSL | F1PA0.9152 | 9 | |
| Anomaly Detection | MSL | F1 Score86.52 | 9 | |
| Anomaly Detection | MSL Time Series | F1 (Point Adjustment)86.52 | 9 | |
| Multivariate Time Series Anomaly Detection | MSL 51d | Precision92.24 | 8 | |
| Semantic Segmentation | MSL labeled ratio (1/4) | mIoU65.9 | 8 | |
| Semantic Segmentation | MSL labeled ratio (1/8) | mIoU60.9 | 8 | |
| Proactive Anomaly Detection | MSL True Labels (test) | F1@K33 | 3 | |
| Anomaly Detection | MSL C0 | Accuracy83.77 | 1 | |
| Anomaly Detection | MSL (test) | F1 Score- | 0 |