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ARFNet: adaptive receptive field network for detecting insulator self-explosion defects

文献类型：期刊论文

作者Zhang, Ke3,4; Qian, Shaowei2,4; Zhou, Jianan1; Xie, Chengjun2; Du, Jianming2; Yin, Tao3
刊名SIGNAL IMAGE AND VIDEO PROCESSING
出版日期2022-04-15
ISSN号1863-1703
关键词Insulator self-explosion Object detection Adaptive receptive field network Attention mechanism Deep learning
DOI10.1007/s11760-022-02186-3
通讯作者Qian, Shaowei(qsw@mail.ustc.edu.cn) ; Du, Jianming(djming@iim.ac.cn)
英文摘要Insulators are one of the critical components of high-altitude transmission lines. Insulator defects can lead to the failure of the power transmission system and even more severe consequences. Therefore, accurately locating and identifying insulator defects are particularly important. To address the problem of insulator information loss after insulation self-explosion and the large gap in insulator size, in this paper, we propose an effective and innovative module called adaptive receptive field network (ARFNet) to get proper context information for insulator self-explosion defects. ARFNet is an effective component that can be used in different networks to give the networks the ability to adapt the size of the receptive field through the attention mechanism. Besides, to further reduce the false detection rate, we also build a novel insulator dataset, including two categories of the whole insulator and the insulator self-explosion area. In addition, experiments show that our method can effectively improve detection accuracy and reduce the false detection rate.
资助项目science and technology project of State Grid Corporation of China[5500-202140127A]
WOS研究方向Engineering ; Imaging Science & Photographic Technology
语种英语
出版者SPRINGER LONDON LTD
WOS记录号WOS:000782720500001
资助机构science and technology project of State Grid Corporation of China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/128691]  
专题中国科学院合肥物质科学研究院
通讯作者Qian, Shaowei; Du, Jianming
作者单位1.Hunan Univ, Changsha 410000, Peoples R China
2.Chinese Acad Sci, Inst Intelligent Machines, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
3.Anhui NARI Jiyuan Power Grid Technol Co Ltd, State Grid Power Res Inst, Hefei 230088, Peoples R China
4.Univ Sci & Technol China, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Ke,Qian, Shaowei,Zhou, Jianan,et al. ARFNet: adaptive receptive field network for detecting insulator self-explosion defects[J]. SIGNAL IMAGE AND VIDEO PROCESSING,2022.
APA Zhang, Ke,Qian, Shaowei,Zhou, Jianan,Xie, Chengjun,Du, Jianming,&Yin, Tao.(2022).ARFNet: adaptive receptive field network for detecting insulator self-explosion defects.SIGNAL IMAGE AND VIDEO PROCESSING.
MLA Zhang, Ke,et al."ARFNet: adaptive receptive field network for detecting insulator self-explosion defects".SIGNAL IMAGE AND VIDEO PROCESSING (2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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