3D Object Detection On Waymo Pedestrian
평가 지표
APH/L2
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | APH/L2 | Paper Title | Repository |
|---|---|---|---|
| CenterFormer | 75.0 | CenterFormer: Center-based Transformer for 3D Object Detection | |
| PillarNeXt | 75.98 | PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds | |
| M3DeTR | 68.20 | M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers | |
| PV-RCNN | 70.16 | PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection | |
| SST | 73.51 | Embracing Single Stride 3D Object Detector with Sparse Transformer | |
| DSVT(val) | 76.4 | DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets | |
| CenterPoint | 71.52 | Center-based 3D Object Detection and Tracking |
0 of 7 row(s) selected.