3D Multi-Object Tracking on KITTI car (val)
96.93SAMOTAEagerMOT
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| EagerMOTInput=2D+3D, Detector=Point R-CNN [30]2021.04 | 96.93 | — | — | 95.29 | 76.97 | 1 | — | — | |
| CAMO-MOTModality=C+L, 3D object detector=PointGNN2023.08 | 95.2 | 48.04 | 81.48 | — | — | — | — | — | |
| LEGOModality=L, 3D object detector=PointGNN2023.08 | 95.2 | 48.1 | 87.05 | 92 | 86.69 | 1 | 5 | — | |
| EagerMOTModality=C+L, 3D object detector=PointGNN2023.08 | 94.94 | 48.8 | 80.4 | 96.61 | 80 | 2 | — | — | |
| EagerMOTInput=2D+3D2021.04 | 94.94 | — | — | 96.61 | 80 | 2 | — | — | |
| LEGOModality=L, 3D object detector=PointRCNN2023.08 | 94.9 | 47.78 | 86.97 | 91.36 | 86.7 | 1 | 4 | — | |
| PolarMOTModality=L, 3D object detector=PointGNN2023.08 | 94.32 | — | — | 93.93 | — | 31 | — | — | |
| CenterTubeModality=L, 3D object detector=CenterPoint2023.08 | 93.89 | 46.24 | 80.23 | — | — | 78 | — | — | |
| FGO-based3DMOTModality=L, 3D object detector=PointRCNN2023.08 | 93.77 | 46.14 | 77.85 | 86.53 | 79 | 1 | — | — | |
| GNN3DMOTModality=C+L, 3D object detector=PointRCNN2023.08 | 93.68 | 45.27 | 78.1 | 84.7 | 79.03 | 0 | 10 | — | |
| GNN3DMOTInput=2D+3D2021.04 | 93.68 | — | — | 84.7 | 79.03 | 10 | — | — | |
| ConvUKFModality=L, 3D object detector=PointRCNN2023.08 | 93.32 | 45.46 | 78.09 | — | — | — | 17 | — | |
| AB3DMOTModality=L, 3D object detector=PointRCNN2023.08 | 93.28 | 45.43 | 77.41 | 86.24 | 78.43 | 0 | 15 | — | |
| AB3DMOTInput Data=3D, Matching criteria=IoUthres = 0.252019.07 | 93.28 | 45.43 | 77.41 | 86.24 | 78.43 | 0 | 15 | — | |
| AdaptiveNoiseCovModality=L, 3D object detector=3D clustering approach2023.08 | 93.03 | 45.22 | 61.79 | 86.18 | 64.11 | 0 | 30 | — | |
| AB3DMOTInput=3D, Detector=Point R-CNN [30]2021.04 | 91.78 | — | — | 83.35 | 78.43 | 0 | — | — | |
| AB3DMOTInput Data=3D, Matching criteria=IoUthres = 0.52019.07 | 90.38 | 42.79 | 75.65 | 84.02 | 78.97 | 0 | 51 | — | |
| FANTrackInput Data=2D + 3D, Matching criteria=IoUthres = 0.252019.07 | 82.97 | 40.03 | 75.01 | 74.3 | 75.24 | 35 | 202 | — | |
| FANTrackInput=2D+3D2021.04 | 82.97 | — | — | 74.3 | 75.24 | 202 | — | — | |
| FANTrackInput Data=2D + 3D, Matching criteria=IoUthres = 0.52019.07 | 80.14 | 38.16 | 73.62 | 72.71 | 74.91 | 36 | 211 | — | |
| mmMOTInput Data=2D + 3D, Matching criteria=IoUthres = 0.252019.07 | 70.61 | 33.08 | 72.45 | 74.07 | 78.16 | 10 | 55 | — | |
| mmMOTInput=2D+3D2021.04 | 70.61 | — | — | 74.07 | 78.16 | 125 | — | — | |
| AB3DMOTInput Data=3D, Matching criteria=IoUthres = 0.72019.07 | 69.81 | 27.26 | 67 | 57.06 | 82.43 | 0 | 157 | — | |
| mmMOTInput Data=2D + 3D, Matching criteria=IoUthres = 0.52019.07 | 69.14 | 32.81 | 72.22 | 73.53 | 78.51 | 10 | 64 | — | |
| mmMOTInput Data=2D + 3D, Matching criteria=IoUthres = 0.72019.07 | 63.91 | 24.91 | 67.32 | 51.91 | 80.71 | 24 | 141 | — | |
| FANTrackInput Data=2D + 3D, Matching criteria=IoUthres = 0.72019.07 | 62.72 | 24.71 | 66.06 | 49.19 | 79.01 | 38 | 406 | — | |
| ACK3DMOTModality=L, 3D object detector=PointRCNN2023.08 | — | — | — | 88.73 | 86.81 | 8 | 68 | — | |
| HIDMOTModality=C+L, 3D object detector=PointGNN2023.08 | — | 45.64 | 79.68 | 90.45 | 81.44 | — | — | — | |
| Qiao et al.Modality=C+L, 3D object detector=PointGNN2023.08 | — | 48.35 | 79.9 | 86.33 | 79.42 | 1 | — | — |