Method

New Mono3D Method [Mono3DSS]
[Anonymous Submission]

Submitted on 1 Jan. 2025 22:24 by
[Anonymous Submission]

Running time:0.01 s
Environment:GPU @ 2.5 Ghz (Python)

Method Description:
This method is mainly focusing on monocular 3d
object detection, It is a transformer-based method
Parameters:
we will provide it later
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) 93.60 % 91.18 % 81.77 %
Car (Orientation) 93.49 % 90.79 % 81.28 %
Car (3D Detection) 29.84 % 21.15 % 18.13 %
Car (Bird's Eye View) 38.30 % 27.04 % 23.59 %
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.
This figure as: png eps txt gnuplot




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