Method

Voxel Set Transformer [VoxSeT]
https://github.com/skyhehe123/VoxSeT

Submitted on 9 Nov. 2021 09:30 by
Ang Li (Boston University)

Running time:33 ms
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
TBD
Parameters:
TBD
Latex Bibtex:
@inproceedings{voxset,
title={Voxel Set Transformer: A Set-to-Set Approach
to 3D Object Detection from Point Clouds},
author={Chenhang He and Ruihuang Li and Shuai Li and
Lei Zhang},
booktitle={CVPR},
year={2022}

Detailed Results

Object detection and orientation estimation results. Results for object detection are given in terms of average precision (AP) and results for joint object detection and orientation estimation are provided in terms of average orientation similarity (AOS).


Benchmark Easy Moderate Hard
Car (Detection) 96.16 % 95.23 % 90.49 %
Car (Orientation) 96.15 % 95.13 % 90.38 %
Car (3D Detection) 88.53 % 82.06 % 77.46 %
Car (Bird's Eye View) 92.70 % 89.07 % 86.29 %
This table as LaTeX

2D object detection results.
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Orientation estimation results.
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3D object detection results.
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Bird's eye view results.
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