Joint vehicle detection and pose estimation on KITTI car (test)
96.11AOS (Easy)Ego-Net
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Ego-NetModality=RGB, # of Viewpoints=Monocular2020.11 | 96.11 | 91.23 | 80.96 | 89.43 | |
| DSGNModality=RGB, # of Viewpoints=Stereo2020.11 | 95.42 | 86.03 | 78.27 | 86.57 | |
| MonoPSRModality=RGB + LiDAR, # of Viewpoints=Monocular2020.11 | 93.29 | 87.45 | 72.26 | 84.33 | |
| Disp R-CNNModality=RGB + LIDAR, # of Viewpoints=Stereo2020.11 | 93.02 | 81.7 | 67.16 | 80.63 | |
| Deep3DBoxModality=RGB, # of Viewpoints=Monocular2020.11 | 92.9 | 88.75 | 76.76 | 86.14 | |
| FQNetModality=RGB, # of Viewpoints=Monocular2020.11 | 92.58 | 88.72 | 76.85 | 86.05 | |
| RTM3DModality=RGB, # of Viewpoints=Monocular2020.11 | 91.75 | 86.73 | 77.18 | 85.22 | |
| MonoPairModality=RGB, # of Viewpoints=Monocular2020.11 | 91.65 | 86.11 | 76.45 | 84.74 | |
| Mono3DModality=RGB, # of Viewpoints=Monocular2020.11 | 91.01 | 86.62 | 76.84 | 84.82 | |
| ML-FusionModality=RGB, # of Viewpoints=Monocular2020.11 | 90.35 | 87.03 | 76.37 | 84.58 | |
| D4LCNModality=RGB, # of Viewpoints=Monocular2020.11 | 90.01 | 82.08 | 63.98 | 78.69 | |
| RAR-NetModality=RGB, # of Viewpoints=Monocular2020.11 | 88.4 | 82.63 | 66.9 | 79.31 | |
| M3D-RPNModality=RGB, # of Viewpoints=Monocular2020.11 | 88.38 | 82.81 | 67.08 | 79.42 | |
| GS3DModality=RGB, # of Viewpoints=Monocular2020.11 | 85.79 | 75.63 | 61.85 | 74.42 | |
| Kinematic3DModality=RGB, # of Viewpoints=Monocular2020.11 | 58.33 | 45.5 | 34.81 | 46.21 |