SDD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Trajectory Prediction | SDD | ADE0.25 | 64 | |
| Anomaly Detection | SDD | AUC0.996 | 57 | |
| Anomaly Detection | SDD (test) | AUC-ROC98.8 | 45 | |
| Trajectory Prediction | SDD (test) | ADE0.17 | 24 | |
| Industrial Anomaly Detection | SDD | Balanced Accuracy88.9 | 19 | |
| Trajectory Prediction | SDD Standard (test) | ADE7.74 | 11 | |
| Anomaly Segmentation | SDD | P-AUROC93 | 7 | |
| Trajectory Prediction | SDD | min_k ADE7.19 | 7 | |
| Anomaly Segmentation | SDD | Pixel-AUC93.2 | 7 | |
| Instrumental Music Generation | SDD 120s generations (test) | FAD0.101 | 6 | |
| Anomaly Detection | SDD | AUROC96.8 | 6 | |
| Anomaly Segmentation | SDD | AUROC97.4 | 6 | |
| Anomaly Segmentation | SDD (test) | AUROC90.6 | 6 | |
| Pixel-level Anomaly Detection | SDD | AUROC97.9 | 6 | |
| Image-level Anomaly Detection | SDD | AUROC97.1 | 6 | |
| Instrumental Music Generation | SDD 190s generations | FAD0.1 | 5 | |
| Industrial Anomaly Detection | SDD | Anomaly Recall83.3 | 4 | |
| Trajectory Prediction | SDD | min-k ADE7.42 | 4 | |
| Anomaly Detection | SDD | AUPRC0.925 | 4 | |
| Trajectory Prediction | SDD | ADE0.47 | 4 | |
| Semantic Segmentation | SDD Corrupted (test) | Accuracy (Clean)50.62 | 3 | |
| Human Trajectory Forecasting | SDD (test) | Ravg83.4 | 3 | |
| Crowd behavior generation | SDD (test) | Density0.058 | 3 | |
| Trajectory Prediction | SDD All samples (test) | minADE7.87 | 2 | |
| Trajectory Prediction | SDD Rest samples (test) | minADE6.54 | 2 |
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