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3D Object Detection On Waymo Vehicle

Metrics

APH/L2

Results

Performance results of various models on this benchmark

Model Name
APH/L2
Paper TitleRepository
CenterFormer73.8CenterFormer: Center-based Transformer for 3D Object Detection
DSVT(val)74.1DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
SST72.74Embracing Single Stride 3D Object Detector with Sparse Transformer
M3DeTR70.54M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
PillarNeXt75.76PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
PV-RCNN73.23PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
Pyramid-PV-Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
VoTr-TSD-Voxel Transformer for 3D Object Detection
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