Method

MonoSKD [MonoSKD]
https://github.com/Senwang98/MonoSKD

Submitted on 31 May. 2024 17:49 by
sen wang (BUAA)

Running time:0.04 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
TBD
Parameters:
TBD
Latex Bibtex:
@inproceedings{wang2023monoskd,
title={MonoSKD: General Distillation Framework for
Monocular 3D Object Detection via Spearman
Correlation Coefficient},
author={Sen Wang and Jin Zheng},
booktitle={ECAI},
year={2023}
}

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) 96.68 % 91.34 % 83.69 %
Car (Orientation) 96.58 % 90.96 % 83.10 %
Car (3D Detection) 28.43 % 17.35 % 15.01 %
Car (Bird's Eye View) 37.12 % 24.08 % 20.37 %
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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