3D Object Detection On Waymo Pedestrian
评估指标
APH/L2
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 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 |
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