Method

Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth [Decoupled-3D]


Submitted on 18 Oct. 2019 13:13 by
yangmei cai (research)

Running time:0.08 s
Environment:GPU @ 2.5 Ghz (C/C++)

Method Description:
@article{cai2020monocular,
title={Monocular 3D Object Detection with Decoupled
Structured Polygon Estimation and Height-Guided Depth
Estimation},
author={Cai, Yingjie and Li, Buyu and Jiao, Zeyu and Li,
Hongsheng and Zeng, Xingyu and Wang, Xiaogang},
journal={AAAI},
year={2020}
}
Parameters:
height = 1.46m
Latex Bibtex:
@article{cai2020monocular,
title={Monocular 3D Object Detection with Decoupled
Structured Polygon Estimation and Height-Guided Depth
Estimation},
author={Cai, Yingjie and Li, Buyu and Jiao, Zeyu and Li,
Hongsheng and Zeng, Xingyu and Wang, Xiaogang},
journal={AAAI},
year={2020}
}

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) 87.78 % 67.92 % 54.53 %
Car (Orientation) 87.34 % 67.23 % 53.84 %
Car (3D Detection) 11.08 % 7.02 % 5.63 %
Car (Bird's Eye View) 23.16 % 14.82 % 11.25 %
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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