Monocular 3D Object Detection (Car) on KITTI-360 29 (test)
64.32AP3D (IoU=0.3, Easy)MonoDETR
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| MonoDETRSupervision Type=Fully-supervised (Sup.), Labels=GT-3D, Extra=✗2025.07 | 64.32 | 57.83 | 66.42 | 60.31 | 47.69 | 38.76 | 52.76 | 43.56 | |
| PLOTSupervision Type=Pseudo-labeling (Pseudo.), Labels=GSAM, Extra=Video2025.07 | 54.78 | 48.75 | 60.75 | 54.58 | 27.34 | 21.98 | 36.88 | 30.45 | |
| VSRDSupervision Type=Pseudo-labeling (Pseudo.), Labels=GT-2D, Extra=Pose2025.07 | 50.86 | 43.45 | 58.4 | 50.61 | 21.77 | 16.46 | 29.07 | 22.83 | |
| MonoSOWASupervision Type=Pseudo-labeling (Pseudo.), Labels=MViT2, Extra=VPS2025.07 | 42.72 | 46.59 | 50.84 | 49.22 | 29.98 | 27.56 | 38.41 | 35.26 | |
| OVMono3DSupervision Type=Open-set (Open.), Labels=Zero-shot, Extra=✗2025.07 | 41.82 | 31.94 | 49.45 | 39.08 | 4.49 | 3.39 | 29.18 | 22.07 | |
| WeakM3DSupervision Type=Weakly-supervised (Weak.), Labels=GT-2D, Extra=LiDAR2025.07 | 21.25 | 15.34 | 29.89 | 24.01 | 2.96 | 2.01 | 8.1 | 2.96 | |
| 3D-MOODSupervision Type=Open-set (Open.), Labels=Zero-shot, Extra=✗2025.07 | 21.15 | 13.12 | 32.68 | 21.41 | 0.06 | 0.04 | 7.62 | 4.59 | |
| AutolabelsSupervision Type=Weakly-supervised (Weak.), Labels=GT-2D, Extra=LiDAR, Shape2025.07 | 12.92 | 9.94 | 48.16 | 37.34 | 4.69 | 2.79 | 20.18 | 14.33 |