Method

Unambiguous Stereo 3D Object Detection[st] [UPF_3D]
[Anonymous Submission]

Submitted on 25 Dec. 2021 06:18 by
[Anonymous Submission]

Running time:0.29 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
UPFNet+voxel
Parameters:
0.01
Latex Bibtex:
tap

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) 96.12 % 86.61 % 79.53 %
Car (Orientation) 95.69 % 85.22 % 78.06 %
Car (3D Detection) 78.24 % 52.83 % 46.12 %
Car (Bird's Eye View) 85.53 % 63.58 % 56.56 %
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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