3D Object Detection On Rope3D
Metrics
AP@0.7
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AP@0.7 |
|---|---|
| cobev-elevating-roadside-3d-object-detection | 52.72 |
| m3d-rpn-monocular-3d-region-proposal-network | 16.75 |
| bevformer-v2-adapting-modern-image-backbones | 24.64 |
| bevheight-a-robust-framework-for-vision-based | 45.73 |
| monouni-a-unified-vehicle-and-infrastructure | 75.27 |
| kinematic-3d-object-detection-in-monocular | 17.74 |
| bevdepth-acquisition-of-reliable-depth-for | 42.56 |
| delving-into-localization-errors-for | 13.58 |