Method

VGT-RCNN [VGT-RCNN]


Submitted on 18 Oct. 2022 14:49 by
Sam Young (NCEPU)

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

Method Description:
VGT-RCNN
Parameters:
VGT-RCNN
Latex Bibtex:
VGT-RCNN

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) 96.38 % 95.19 % 92.55 %
Car (Orientation) 96.37 % 95.11 % 92.42 %
Car (3D Detection) 91.24 % 82.36 % 79.34 %
Car (Bird's Eye View) 94.59 % 90.89 % 86.36 %
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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