Method

MonoDGC [MonoDGC]
https://github.com/Tracygc/MonoDGC

Submitted on 27 Jan. 2026 18:25 by
Cong Guo (Nanjing University of Science and Technology)

Running time:0.03 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
Dynamic Graph Cross-Former for Monocular 3D Object
Detection
Parameters:
K=9
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) 94.34 % 89.22 % 79.68 %
Car (Orientation) 94.10 % 88.62 % 78.98 %
Car (3D Detection) 27.13 % 19.42 % 16.64 %
Car (Bird's Eye View) 35.18 % 24.71 % 22.38 %
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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