Method

Shape Aware Monocular 3D Object Detection [AutoShape]
https://github.com/zongdai/AutoShape

Submitted on 14 Jul. 2021 10:59 by
Zongdai Liu (Beihang University)

Running time:0.04 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Shape Aware Monocular 3D Object Detection
Parameters:
lr=1e-5
Latex Bibtex:
@inproceedings{liu2021autoshape,
title={AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection},
author={Liu, Zongdai and Zhou, Dingfu and Lu, Feixiang and Fang, Jin and Zhang, Liangjun},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={15641--15650},
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) 86.51 % 77.66 % 64.40 %
Car (Orientation) 86.41 % 77.31 % 64.06 %
Car (3D Detection) 22.47 % 14.17 % 11.36 %
Car (Bird's Eye View) 30.66 % 20.08 % 15.95 %
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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