3D Object Detection On Waymo Pedestrian

APH/L2

Results

Performance results of various models on this benchmark

		Paper Title
DSVT(val)	76.4	DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
PillarNeXt	75.98	PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
CenterFormer	75.0	CenterFormer: Center-based Transformer for 3D Object Detection
SST	73.51	Embracing Single Stride 3D Object Detector with Sparse Transformer
CenterPoint	71.52	Center-based 3D Object Detection and Tracking
PV-RCNN	70.16	PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
M3DeTR	68.20	M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

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