Birds Eye View Object Detection On Kitti Cars 5
Métriques
AP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AP | Paper Title | Repository |
|---|---|---|---|
| SE-SSD | 86.72% | SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud | |
| PIXOR | 72.95 | PIXOR: Real-time 3D Object Detection from Point Clouds | |
| STD | 86.89 | STD: Sparse-to-Dense 3D Object Detector for Point Cloud | - |
| VoxelNet | 77.39 | VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection | |
| PointPillars | 79.83 | PointPillars: Fast Encoders for Object Detection from Point Clouds | |
| PV-RCNN | 86.14 | PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection | |
| CIA-SSD | 82.39 % | CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud | |
| Patches | 79.22 | Patch Refinement -- Localized 3D Object Detection | - |
0 of 8 row(s) selected.