Scene
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Clustering | Scene-15 | Accuracy50.33 | 85 | |
| 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 | |
| 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 | |
| Multi-view Classification | Scene | ECE6.87 | 11 | |
| Optical Flow Estimation | scene_9 (test) | FWL1.61 | 9 | |
| Partial Multi-Label Learning | scene avg.#CLs (5) | Coverage25.3 | 9 | |
| Partial Multi-Label Learning | scene avg.#CLs 3 | Coverage21.7 | 9 | |
| Task Allocation | Scene-1 | Mean Makespan63.8 | 8 | |
| Image retrieval | SCENE | Coverage49.9 | 8 | |
| image retrieval | SCENE | AP (SCENE)80.4 | 8 | |
| image retrieval | SCENE | Hamming Loss9.2 | 8 | |
| Description Quality | Scene 2 Suite main room | Color Accuracy79 | 8 | |
| Object Retrieval | Scene 2 Suite main room | SRobj78 | 8 |
Showing 25 of 66 rows