Method

MonoAux-v2 [MonoAux-v2]
TBD

Submitted on 23 Sep. 2023 05:51 by
sen wang (BUAA)

Running time:0.04 s
Environment:GPU @ 2.5 Ghz (Python)

Method Description:
MonoAux after our MonoSKD distillation scheme can
equal the semi-supervised detector without using
kitti raw
Parameters:
TBD
Latex Bibtex:
TBD

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) 94.42 % 91.43 % 79.20 %
Car (Orientation) 94.27 % 91.07 % 78.73 %
Car (3D Detection) 26.00 % 18.55 % 15.79 %
Car (Bird's Eye View) 34.14 % 24.15 % 20.84 %
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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