Method

BA2-Det: 2D Supervised Monocular 3D Object Detection by Global-to-Local Reconstruction [BA2-Det+MonoFlex]
[Anonymous Submission]

Submitted on 9 Aug. 2023 04:32 by
[Anonymous Submission]

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

Method Description:
2D Supervised Monocular 3D Object Detection by
Global-to-Local 3D Reconstruction
Parameters:
N/A
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) 96.45 % 91.12 % 81.30 %
Car (Orientation) 96.20 % 90.51 % 80.66 %
Car (3D Detection) 23.45 % 16.30 % 13.50 %
Car (Bird's Eye View) 31.61 % 21.54 % 18.35 %
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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