Method

SFD++: Enhancing 3D Object Detection by Fusing Pseudo Points in Refine-stage [SFD++]
[Anonymous Submission]

Submitted on 20 Feb. 2025 15:55 by
[Anonymous Submission]

Running time:0.06 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
SFD++
Parameters:
\alpha=0.4
Latex Bibtex:
None

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) 98.91 % 96.03 % 93.23 %
Car (Orientation) 98.90 % 95.90 % 93.04 %
Car (3D Detection) 90.13 % 82.16 % 77.19 %
Car (Bird's Eye View) 94.92 % 91.54 % 86.67 %
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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