NBA
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Trajectory Prediction | NBA (test) | minADE200.18 | 143 | |
| Multi-agent trajectory prediction | NBA dataset | ADE0.3 | 26 | |
| Node Classification | NBA | BAcc74.34 | 14 | |
| Player Potential Prediction | NBA FMR=90%, LMR=90% | 1-HL88.3 | 10 | |
| Player Potential Prediction | NBA FMR=70%, LMR=70% | 1-HL Score89.4 | 10 | |
| Player Potential Prediction | NBA FMR=50%, LMR=50% | HL (Level 1)0.901 | 10 | |
| Group Activity Recognition | NBA (test) | MCA0.758 | 10 | |
| Node Classification | NBA (test) | Accuracy0.7304 | 8 | |
| Node Classification | NBA | Training Time (s)3.5 | 8 | |
| Group Activity Recognition | NBA 56 (test) | Mean Accuracy50.2 | 7 | |
| 3D Motion Generation | NBA All view angles | FID5.38 | 3 | |
| 3D Motion Generation | NBA Side view angles | FID18.28 | 2 |
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