Method

MonoDT [MDT]
None

Submitted on 15 Jul. 2022 04:38 by
星星 李 (上海理工大学)

Running time:0.01 s
Environment:1 core @ 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) 93.80 % 85.32 % 75.35 %
Car (Orientation) 92.80 % 83.47 % 73.13 %
Car (3D Detection) 15.95 % 11.11 % 8.80 %
Car (Bird's Eye View) 24.22 % 16.47 % 13.42 %
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.
This figure as: png eps pdf txt gnuplot




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