Method

VoTr-TSD [VoTr-TSD]
https://github.com/PointsCoder/VOTR

Submitted on 14 Mar. 2021 14:24 by
Jiageng Mao (The Chinese University of Hong Kong)

Running time:0.07 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Two-stage Voxel Transformer
Parameters:
None
Latex Bibtex:
@inproceedings{mao2021votr,
title={Voxel Transformer for 3D Object Detection},
author={Mao, Jiageng and Xue, Yujing and Niu,
Minzhe
and Bai, Haoyue and Feng, Jiashi and Liang, Xiaodan
and Xu, Hang and Xu, Chunjing},
booktitle={ICCV},
year={2021}
}

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) 95.97 % 94.94 % 92.44 %
Car (Orientation) 95.95 % 94.81 % 92.24 %
Car (3D Detection) 89.90 % 82.09 % 79.14 %
Car (Bird's Eye View) 94.03 % 90.34 % 86.14 %
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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