notesum.ai
Published at November 133D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter
cs.RO
cs.AI
Released Date: November 13, 2024
Authors: Xiaoxiang Wang, Jiaxin Liu, Miaojie Feng, Zhaoxing Zhang, Xin Yang

| Method | Detector | Input Data | AMOTA | AMOTP | IDS |
| CBMOT[26] | CenterPoint[2] & CenterTrack[27] | 2D + 3D | 68.1 | 52.8 | 761 |
| EagerMOT[10] | CenterPoint & Cascade R-CNN[28] | 2D + 3D | 67.7 | 55.0 | 1156 |
| SimpleTrack[6] | CenterPoint | 3D | 66.8 | 55.0 | 575 |
| OGR3MOT[9] | CenterPoint | 3D | 65.6 | 62.0 | 288 |
| CenterPoint | CenterPoint | 3D | 65.0 | 53.5 | 684 |
| Poly-MOT[7] | CenterPoint | 3D | 70.0 | 50.9 | 331 |
| Poly-MOT1 | LargeKernel3D[29] | 2D + 3D | 75.4(74.2) | 42.2(46.5) | 292(276) |
| Ours | CenterPoint | 3D | 70.0 | 50.4 | 353 |
| Ours | LargeKernel3D | 2D + 3D | 74.4 | 42.9 | 352 |