Method

Shape Aware Monocular 3D Object Detection [AutoShape]


Submitted on 18 Apr. 2021 10:54 by
Jiahui Wang (University of Chinese Academy of Sciences)

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:
TBD

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) 83.75 % 76.82 % 63.71 %
Car (Orientation) 83.71 % 76.61 % 63.47 %
Car (3D Detection) 20.35 % 12.42 % 9.70 %
Car (Bird's Eye View) 28.25 % 18.12 % 14.84 %
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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