Method

monocular 3D detection [monocular ]
[Anonymous Submission]

Submitted on 1 Feb. 2019 20:24 by
[Anonymous Submission]

Running time:0.4 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
Accurate Monocular 3D Object Detection via Color-
Embedded 3D Reconstruction
Parameters:
r=0.5
Latex Bibtex:

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) 87.77 % 85.73 % 77.59 %
Car (3D Detection) 17.57 % 14.24 % 11.99 %
Car (Bird's Eye View) 24.44 % 18.72 % 16.54 %
This table as LaTeX


2D object detection results.
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3D object detection results.
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Bird's eye view results.
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