3D Multi Object Tracking On Nuscenes
المقاييس
AMOTA
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
اسم النموذج | AMOTA | Paper Title | Repository |
|---|---|---|---|
| IMBAfarmer09 | 0.58 | - | - |
| XDetTracking | 0.43 | - | - |
| MV-ByteTrack | 0.56 | - | - |
| FG-3DMOT | 0.34 | - | - |
| UVTR-LiDAR-Greedy | 0.66 | - | - |
| AB3DMOT+Megvii | 0.57 | - | - |
| Octopus_Tracker | 0.68 | - | - |
| TEMI-MOT | 0.69 | - | - |
| PorTrack | 0.07 | - | - |
| cca | 0.66 | - | - |
| CenterPoint | 0.65 | - | - |
| Buffalo Vision Team | 0.06 | - | - |
| CenterPoint-Single | 0.64 | Center-based 3D Object Detection and Tracking | |
| lighthouse | 0.68 | - | - |
| PMBM filter | 0.63 | - | - |
| calcalcal | 0.55 | - | - |
| BEVTrack | 0.34 | - | - |
| MinkowskiTracker | 0.7 | - | - |
| gz123 | 0.27 | - | - |
| XformerTrack | 0.38 | - | - |
0 of 115 row(s) selected.