Method

HRNet [HRNet]


Submitted on 11 Oct. 2022 05:40 by
young sum (ncepubd)

Running time:0.03 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
HRNet
Parameters:
HRNet
Latex Bibtex:
HRNet

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) 96.63 % 95.58 % 92.86 %
Car (Orientation) 96.62 % 95.50 % 92.73 %
Car (3D Detection) 91.36 % 82.81 % 79.81 %
Car (Bird's Eye View) 95.18 % 91.42 % 86.73 %
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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