Object Helps U-Net Based Change Detectors

doi:10.1109/JAS.2023.124032

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Object Helps U-Net Based Change Detectors
	Lan Yan; Qiang Li; Kenli Li
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2024
卷号	11 期号:2 页码:548-550
通讯作者	Yan, Lan(ylan@hnu.edu.cn)
摘要	This letter focuses on leveraging the object information in images to improve the performance of the U-Net based change detector. Change detection is fundamental to many computer vision tasks. Although existing solutions based on deep neural networks are able to achieve impressive results. However, these methods ignore the extraction and utilization of the inherent object information within the image. To this end, we propose a simple but effective method that employs an excellent object detector to extract object information such as locations and categories. This information is combined with the original image and then fed into the U-Net based change detection network. The successful application of our method on MU-Net and the experimental results on CDnet2014 dataset show the effectiveness of the proposed method, and the correct object information is helpful in change detection.
DOI	10.1109/JAS.2023.124032
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China
项目资助者	National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:001167041500002
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/54564
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Lan Yan,Qiang Li,Kenli Li. Object Helps U-Net Based Change Detectors[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(2):548-550.
APA	Lan Yan,Qiang Li,&Kenli Li.(2024).Object Helps U-Net Based Change Detectors.IEEE/CAA Journal of Automatica Sinica,11(2),548-550.
MLA	Lan Yan,et al."Object Helps U-Net Based Change Detectors".IEEE/CAA Journal of Automatica Sinica 11.2(2024):548-550.

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