| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Fault Types Classification | Dataset A | Micro Precision69.4 | 12 | |
| Root Cause Localization | Dataset A | Acc@156.2 | 12 | |
| Temporal Link Prediction | Dataset A WSDM Challenge 2022 | Initial AUC0.6657 | 12 | |
| Ancient inscription restoration | Dataset A | SSIM96.07 | 9 | |
| Text Recovery | Dataset A (test) | Text Recovery Score45.67 | 9 | |
| Ancient Inscription Texture Restoration | Dataset A | PSNR39.3524 | 9 | |
| Ancient Inscription Restoration | Dataset A | Log-scaled Levenshtein Similarity0.3567 | 9 | |
| Ancient Inscription Restoration | Dataset A | Levenshtein Distance63.3333 | 9 | |
| Ancient Inscription Restoration | Dataset A | LPIPS4.35 | 9 | |
| Object Detection | Dataset A (test) | Precision99.91 | 8 | |
| HBP Synthesis | Dataset A | CNR1.0774 | 5 | |
| MRI Synthesis | Dataset A | MAE10.6524 | 5 | |
| Anomaly Detection | Dataset A Scenario #3 | Action Accuracy73.3 | 5 | |
| Anomaly Detection | Dataset A Scenario #2 | Action Accuracy0.704 | 5 | |
| Anomaly Detection | Dataset A Scenario #1 | Action Accuracy88.9 | 5 | |
| Ground Reaction Moment Vertical (GRM_V) Estimation | Dataset A stance phase | Correlation Coefficient (r)0.987 | 4 | |
| Ground Reaction Moment Anteroposterior (GRM_AP) Estimation | Dataset A stance phase | Correlation (r)0.983 | 4 | |
| Ground Reaction Moment Mediolateral (GRM_ML) Estimation | Dataset A stance phase | Correlation Coefficient (r)0.99 | 4 | |
| Ground Reaction Force Vertical (GRF_V) Estimation | Dataset A stance phase | Correlation Coefficient (r)0.987 | 4 | |
| Ground Reaction Force Anteroposterior (GRF_AP) Estimation | Dataset A (stance phase) | Correlation Coefficient (r)0.991 | 4 | |
| Ground Reaction Force Mediolateral (GRF_ML) Estimation | Dataset A (stance phase) | Correlation Coefficient (r)0.972 | 4 | |
| Surface Normal Estimation | Dataset A (test) | MAE16.99 | 4 | |
| Clause-level privacy policy analysis | Dataset A | F1 Score79 | 4 | |
| Source Count Estimation | Dataset A BRUDEX (test) | Accuracy95.6 | 3 | |
| Ultrasound Image Registration | Dataset A (test) | Dice Score (Bone Mask 1)95.9 | 2 |