Scene
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Clustering | Scene-15 | Accuracy50.33 | 103 | |
| Hyperspectral Image Completion | Scene6 | NRMSE0.034 | 32 | |
| Hyperspectral Image Completion | Scene5 | NRMSE2.1 | 32 | |
| Hyperspectral Image Completion | Scene4 | NRMSE0.01 | 32 | |
| Multi-label classification | scene | Ranking Loss0.0629 | 32 | |
| Image Classification | Scene | Accuracy84.5 | 31 | |
| Imbalanced Classification | scene | F1-Score65.7 | 25 | |
| Multi-label Classification | scene | Macro-AUC0.9529 | 24 | |
| Multi-label classification | scene | Macro-F1 Score (Scene)79.31 | 24 | |
| Adversarial Attack on Motion Planning | Scene 1 Obstacle | PSR89.2 | 22 | |
| Multi-view Clustering | Scene15 | Accuracy45.87 | 18 | |
| Partial Multi-Label Learning | scene | Average Precision85.7 | 18 | |
| Partial Multi-Label Learning | scene | One-Error24.9 | 18 | |
| Partial Multi-Label Learning | scene | Hamming Loss11 | 18 | |
| Multi-view Classification | Scene | Accuracy82.88 | 17 | |
| Unsupervised Feature Selection | Scene | NMI40.49 | 14 | |
| Clustering | Scene | Accuracy41.96 | 14 | |
| Multi-label classification | Scene | F1 Score70.39 | 12 | |
| Multi-view Clustering | Scene | NMI54.69 | 12 | |
| Multi-view clustering | Scene | Running Time (seconds)10.87 | 12 | |
| Adversarial Attack on Motion Planning | Scene 5 Obstacles 3 | Path Success Rate (PSR)99 | 11 | |
| Adversarial Attack on Motion Planning | Scene 3 Obstacles | Path Success Rate (PSR)98.8 | 11 | |
| Adversarial Attack on Motion Planning | Scene 2 5 Obstacles | Path Success Rate (PSR)84.4 | 11 | |
| Adversarial Attack on Motion Planning | Scene 2 3 Obstacles | Path Success Rate (PSR)84.2 | 11 | |
| Adversarial Attack on Motion Planning | Scene 2 (1 Obstacle) | PSR84.8 | 11 |
Showing 25 of 87 rows