Method

A Pseudo-Temporal Feature Enhancement Framework for 3D Target Detection [PTE3D_plus]


Submitted on 23 Nov. 2024 11:42 by
yanxin wu (bjtu)

Running time:0.18 s
Environment:1 core @ 2.5 Ghz (C/C++)

Method Description:
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Parameters:
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Latex Bibtex:
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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) 95.93 % 97.35 % 92.67 %
Car (Orientation) 95.91 % 97.16 % 92.38 %
Car (3D Detection) 90.86 % 84.72 % 81.17 %
Car (Bird's Eye View) 94.77 % 91.55 % 88.65 %
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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