Object Localization On Kitti Cyclists Hard
Metriken
AP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| Frustum PointNets | 54.68% | Frustum PointNets for 3D Object Detection from RGB-D Data |
| VoxelNe | 50.55% | VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection |
0 of 2 row(s) selected.