Method

.... [mat3D]


Submitted on 4 Dec. 2024 09:32 by
xianzhan gege (student)

Running time:0.2 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
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Parameters:
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Latex Bibtex:
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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) 98.83 % 95.64 % 93.00 %
Car (Orientation) 98.79 % 95.48 % 92.73 %
Car (3D Detection) 92.01 % 85.36 % 80.58 %
Car (Bird's Eye View) 95.49 % 91.85 % 87.07 %
This table as LaTeX

2D object detection results.
This figure as: png eps txt gnuplot



Orientation estimation results.
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3D object detection results.
This figure as: png eps txt gnuplot



Bird's eye view results.
This figure as: png eps txt gnuplot




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