Method

R^2 R-CNN [R^2 R-CNN]


Submitted on 16 Jul. 2023 09:27 by
Wang Yihan (NTU)

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
N/A
Parameters:
N/A
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) 72.34 % 63.07 % 59.49 %
Pedestrian (Orientation) 66.45 % 56.78 % 53.26 %
Pedestrian (3D Detection) 51.42 % 43.90 % 40.69 %
Pedestrian (Bird's Eye View) 56.04 % 48.10 % 45.65 %
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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