Evolution of Object Detection Algorithms Utilizing Deep Learning

Haojun Chen

2024

Abstract

As one of the key technologies of image processing, object detection has been widely used in autonomous driving, urban planning and medical scenes. Since deep learning has advanced, deep learning-based object detection technology has advanced significantly. Deep learning-based object detection has become the mainstream algorithm in this field due to its high efficiency and accuracy. In this paper, according to the sequence of technology development, from the data, algorithm and other aspects of summary analysis. This paper provides an overview of datasets in the object detection domain and evaluation metrics for object detection algorithms. The algorithms for different categories in object detection are reviewed, including an exploration of traditional object detection algorithms, as well as the development and optimization of single and two-stage object detection algorithms. Brief introductions are provided regarding the characteristics and application scenarios of different algorithms. Finally, the standard performance of object detection algorithms is compared using experimental data. Simultaneously, the core issues of object detection algorithms are highlighted, along with a discussion on future development directions.

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Paper Citation


in Harvard Style

Chen H. (2024). Evolution of Object Detection Algorithms Utilizing Deep Learning. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 182-188. DOI: 10.5220/0012837700004547


in Bibtex Style

@conference{icdse24,
author={Haojun Chen},
title={Evolution of Object Detection Algorithms Utilizing Deep Learning},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={182-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012837700004547},
isbn={978-989-758-690-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Evolution of Object Detection Algorithms Utilizing Deep Learning
SN - 978-989-758-690-3
AU - Chen H.
PY - 2024
SP - 182
EP - 188
DO - 10.5220/0012837700004547
PB - SciTePress