Method

Dense Constrained Depth [DCD]
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Submitted on 29 May. 2022 13:37 by
hei guo (University of Wisconsin–Madison)

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

Method Description:
Ped and Cyc for DCD
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
Pedestrian (Detection) 23.35 % 17.08 % 15.03 %
Pedestrian (Orientation) 19.70 % 14.05 % 12.33 %
Pedestrian (3D Detection) 10.37 % 6.73 % 6.28 %
Pedestrian (Bird's Eye View) 11.76 % 8.08 % 6.61 %
Cyclist (Detection) 18.66 % 14.71 % 13.83 %
Cyclist (Orientation) 14.49 % 11.02 % 10.15 %
Cyclist (3D Detection) 4.72 % 2.74 % 2.41 %
Cyclist (Bird's Eye View) 5.84 % 3.62 % 3.33 %
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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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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