Method

Multi-Weights 2D: An Effective 2D Backbone Method for BEV processing in object detection [Multi-Weights]


Submitted on 21 Feb. 2023 03:05 by
Yizhou Du (Beijing Institute of Technology)

Running time:0.1 s
Environment:GPU @ 2.5 Ghz (Python + C/C++)

Method Description:
TBD
Parameters:
TBD
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) 96.38 % 95.39 % 90.60 %
Car (Orientation) 96.37 % 95.30 % 90.50 %
Car (3D Detection) 90.06 % 82.05 % 77.36 %
Car (Bird's Eye View) 92.72 % 89.06 % 86.25 %
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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