Method

MAK_VOXEL_RCNN [MAK_VOXEL_RCNN]
[Anonymous Submission]

Submitted on 16 Oct. 2023 17:53 by
[Anonymous Submission]

Running time:0.03 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
MAK_VOXEL_RCNN
Parameters:
MAK_VOXEL_RCNN
Latex Bibtex:

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) 98.63 % 95.67 % 92.97 %
Car (Orientation) 98.62 % 95.56 % 92.82 %
Car (3D Detection) 91.29 % 82.62 % 77.93 %
Car (Bird's Eye View) 95.32 % 91.46 % 86.81 %
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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