Method

RelationNet3D: Monocular 3D Object Detection by bridging visual and geometry representations [RelationNet3D]
[Anonymous Submission]

Submitted on 2 Feb. 2021 08:02 by
[Anonymous Submission]

Running time:0.04 s
Environment:GPU @ 2.5 Ghz (Python)

Method Description:
None
Parameters:
None
Latex Bibtex:
None

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) 81.36 % 76.62 % 68.48 %
Car (Orientation) 81.31 % 76.44 % 68.25 %
Car (3D Detection) 17.57 % 12.60 % 10.95 %
Car (Bird's Eye View) 25.56 % 17.66 % 15.52 %
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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