KITTI-360

Method

PointNet [PointNet]
https://github.com/yanx27/Pointnet_Pointnet2_pytorch

Submitted on 22 Oct. 2021 13:01 by
Yiyi Liao (MPI)

Running time:
Environment:NVIDIA V100

Method Description:
A baseline method for 3D semantic segmentation. Trained and evaluated on KITTI-360.
Parameters:
Latex Bibtex:
@InProceedings{Qi2017CVPR,
author = {Qi, Charles R and Su, Hao and Mo, Kaichun and Guibas, Leonidas J},
title = {Pointnet: Deep learning on point sets for 3d classification and segmentation},
booktitle = CVPR,
year = {2017},
}

Test Set Average

road sidewalk building wall fence pole traffic light traffic sign vegetation terrain person car truck motorcycle bicycle mIoU class
54.15 14.42 28.10 2.74 1.40 0.29 0.00 2.24 56.47 16.35 0.00 19.91 0.00 0.00 0.00 13.07
flat construction object nature human vehicle mIoU category
67.86 28.29 1.14 65.34 0.00 19.86 30.42
This table as LaTeX




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