3D Object Detection On Waymo Open Dataset
Métriques
mAPH/L2
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | mAPH/L2 | Paper Title | Repository |
|---|---|---|---|
| LION | 74.0 | LION: Linear Group RNN for 3D Object Detection in Point Clouds | - |
| AVS-Net | 72.4 | AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding | - |
| CenterPoint | 65.8 | Center-based 3D Object Detection and Tracking | - |
| PV-RCNN++ | 69.5 | PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection | - |
| HEDNet | 73.4 | HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds | - |
| X-Ray DSVT Pillar-Scaled | 71.4 | Do You Remember . . . the Future? Weak-to-Strong generalization in 3D Object Detection | |
| DSVT | 72.1 | DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets | - |
| CenterFormer | 68.9 | CenterFormer: Center-based Transformer for 3D Object Detection | - |
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