HyperAIHyperAI超神经
首页资讯最新论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
HyperAIHyperAI超神经

3D Object Detection On Waymo Vehicle

评估指标

L1 mAP

评测结果

各个模型在此基准测试上的表现结果

模型名称
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-
0 of 8 row(s) selected.
3D Object Detection On Waymo Vehicle | SOTA | HyperAI超神经