Method

MonoFreq [MF]


Submitted on 19 Dec. 2025 14:27 by
春阳 赵 (西安邮电大学)

Running time:0.02 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Enhancing DINOv3 for Monocular 3D Detection via
Frequency Domain Adaptation
Parameters:
alpha=0.2
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) 90.43 % 85.43 % 76.25 %
Car (Orientation) 90.07 % 84.52 % 75.30 %
Car (3D Detection) 27.19 % 18.94 % 16.17 %
Car (Bird's Eye View) 35.16 % 24.47 % 21.25 %
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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