| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Anomaly Detection | MSL | Precision96.24 | 95 | |
| Anomaly Detection | MSL | F194.08 | 46 | |
| Multivariate Time Series Anomaly Detection | MSL | Precision93.69 | 39 | |
| Time Series Anomaly Detection | MSL | F1 Score95.91 | 35 | |
| Anomaly Detection | MSL | F1 Score94.08 | 33 | |
| Time Series Anomaly Detection | MSL | VUS-ROC0.8157 | 32 | |
| Time-Series Anomaly Detection | MSL (test) | F1-@K22.13 | 24 | |
| Anomaly Detection | MSL | Precision85.51 | 21 | |
| Anomaly Detection | MSL | Precision92.25 | 20 | |
| Anomaly Detection | MSL (test) | F1 Score85.06 | 20 | |
| Anomaly Detection | MSL | F1 Score86.52 | 17 | |
| Time Series Anomaly Detection | MSL | AUC-ROC76.2 | 16 | |
| 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 | |
| Anomaly Detection | MSL | Precision89.54 | 10 | |
| Time Series Anomaly Detection | MSL | Affine Precision68.7 | 9 | |
| Anomaly Detection | MSL | F1PA0.9152 | 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 | |
| Anomaly Detection | MSL | PA-F188.27 | 6 | |
| Importance Scoring | MSL 50% BW 20K subsample | F1 Score92.1 | 3 |