Object Detection on Argoverse 2 (val)
548FN CountCenterPoint
Evaluation results
| Method | Links | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CenterPointPipeline=CenterPoint, Modality=LiDAR, Class=Truck2026.03 | 548 | 9,126 | 128 | 779 | 823 | 2.55 | 18 | 0.53 | 1,400 | 1,613 | 5,112 | 10 | 16 | 5 | 24 | 47 | |
| AB3DMOTPipeline=AB3DMOT, Modality=LiDAR, Class=Truck2026.03 | 560 | 4,526 | 140 | 260 | 536 | 2.65 | 13 | 0.36 | 1,484 | 588 | 1,832 | 10 | 8 | 5 | 34 | 44 | |
| BEVFusionPipeline=BEVFusion, Modality=LiDAR + Camera, Class=Truck2026.03 | 597 | 747 | 178 | 127 | 205 | 3.11 | 30 | 0.76 | 1,856 | 222 | 1,016 | 10 | 8.3 | 5 | 69 | 30 | |
| CenterPointPipeline=CenterPoint, Modality=LiDAR, Class=Car2026.03 | 8,162 | 108 | 1,560 | 6,056 | 4,488 | 2.01 | 11 | 0.24 | 16 | 12 | 27 | 10 | 21 | 5 | 34 | 60 | |
| BEVFusionPipeline=BEVFusion, Modality=LiDAR + Camera, Class=Car2026.03 | 8,617 | 7,490 | 1,827 | 1,037 | 1,123 | 2.24 | 24 | 0.4 | 19 | 1,780 | 6,374 | 10 | 9.9 | 5 | 86 | 56 | |
| AB3DMOTPipeline=AB3DMOT, Modality=LiDAR, Class=Car2026.03 | 9,074 | 56 | 2,024 | 2,599 | 3,312 | 2.34 | 9 | 0.19 | 21 | 5,315 | 12 | 10 | 14 | 5 | 46 | 54 |