Method

SIENet [SIENet]
https://github.com/Liz666666/SIENet

Submitted on 11 Mar. 2021 12:37 by
Ziyu Li (Southeast University)

Running time:0.08 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
Announced later
Parameters:
Announced later
Latex Bibtex:
@misc{li2021sienet,
title={SIENet: Spatial Information Enhancement Network for
3D Object Detection from Point Cloud},
author={Ziyu Li and Yuncong Yao and Zhibin Quan and
Wankou Yang and Jin Xie},
year={2021},
eprint={2103.15396},
archivePrefix={arXiv},
primaryClass={cs.CV}
}

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) 96.02 % 94.97 % 92.40 %
Car (Orientation) 96.01 % 94.85 % 92.23 %
Car (3D Detection) 88.22 % 81.71 % 77.22 %
Car (Bird's Eye View) 92.38 % 88.65 % 86.03 %
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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