Method

Efficient Adaptation Enhancing Point [EAEPNet]
[Anonymous Submission]

Submitted on 17 Dec. 2024 11:10 by
[Anonymous Submission]

Running time:0.1 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
Using adaptive image feature extraction to enhance
the expression of point cloud, and using multi-
modal fusion, it is helpful for 3D object
detection.
Parameters:
None
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) 96.32 % 92.66 % 87.72 %
Car (Orientation) 96.09 % 92.01 % 86.92 %
Car (3D Detection) 87.62 % 76.89 % 71.90 %
Car (Bird's Eye View) 92.74 % 86.43 % 81.40 %
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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