Method

Geo-Consistency Matters: Depth-Guided Representation and Attribute Decoupling for Monocular 3D Objec [MonoGAD]
[Anonymous Submission]

Submitted on 12 Oct. 2025 06:47 by
[Anonymous Submission]

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
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Parameters:
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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) 93.68 % 89.22 % 79.75 %
Car (Orientation) 93.49 % 88.64 % 79.04 %
Car (3D Detection) 28.05 % 19.67 % 16.76 %
Car (Bird's Eye View) 35.88 % 25.92 % 22.64 %
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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