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3D Object Detection On Waymo Vehicle

Metrics

L1 mAP

Results

Performance results of various models on this benchmark

Model Name
L1 mAP
Paper TitleRepository
VoTr-TSD74.95Voxel Transformer for 3D Object Detection-
SST-Embracing Single Stride 3D Object Detector with Sparse Transformer-
Pyramid-PV-Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection-
M3DeTR77.66M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers-
CenterFormer-CenterFormer: Center-based Transformer for 3D Object Detection-
PV-RCNN-PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection-
DSVT(val)82.1DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets-
PillarNeXt-PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds-
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3D Object Detection On Waymo Vehicle | SOTA | HyperAI