OS9-1 A Survey of Target Detection Based on Deep Learning

Title:	OS9-1 A Survey of Target Detection Based on Deep Learning
Publication:	ICAROB2023
Volume:	28
Pages:	229-232
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2023.OS9-1
Author(s):	Hucheng Wang, Fengzhi Dai, Min Zhao
Publication Date:	February 9, 2023
Keywords:	Machine earning, Deep learning, Object detection, Convolutional neural network
Abstract:	Object detection is a hot topic in the field of visual detection. Deep learning can greatly compensate for the defect that traditional methods sacrifice real-time for improving accuracy. This paper mainly introduces the main networks and methods of two-stage deep learning algorithm and single-stage deep learning algorithm in the field of target detection. The advantages and disadvantages, usage scenarios and development of each network are described in detail. Finally, the follow-up development in this field is prospected..
PDF File:	https://alife-robotics.co.jp/members2023/icarob/data/html/data/OS/OS9/OS9-1.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/