3D Object Detection From Stereo Images On 1
Metrics
AP75
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | AP75 |
|---|---|
| yolostereo3d-a-step-back-to-2d-for-efficient | 41.25 |
| pseudo-lidar-accurate-depth-for-3d-object | 42.43 |
| dsgn-exploiting-visual-spatial-relation | 67.37 |
| pseudo-lidar-from-visual-depth-estimation | 34.05 |
| stereo-r-cnn-based-3d-object-detection-for | 30.23 |
| wasserstein-distances-for-stereo-disparity | 54.2 |
| triangulation-learning-network-from-monocular-1 | 4.37 |
| object-centric-stereo-matching-for-3d-object | 37.60 |
| dsgn-deep-stereo-geometry-network-for-3d | 52.18 |
| disp-r-cnn-stereo-3d-object-detection-via | 45.78 |
| confidence-guided-stereo-3d-object-detection | 53.58 |
| liga-stereo-learning-lidar-geometry-aware | 64.66 |