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Dually Connected Deraining Net Using Pixel-Wise Attention
Ren WH(任卫红)1,2; Tian JD(田建东)1,2; Wang Q(王强)1,2; Tang YD(唐延东)1
Department机器人学研究室
Corresponding AuthorTian, Jiandong(tianjd@sia.cn)
Source PublicationIEEE Signal Processing Letters
ISSN1070-9908
2020
Volume27Pages:316-320
Indexed BySCI ; EI
EI Accession number20201008257947
WOS IDWOS:000526664500007
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China under Grant 91648118, Grant 61991413, and Grant 61821005 ; LiaoNing Revitalization Talents Program
KeywordImage deraining pixel-wise attention encoderdecoder skip connection
Abstract

Recent single image deraining methods either use a recurrent mechanism to gradually learn the mapping between clear images and rainy images, or focus on designing various loss functions to supervise the learning process. In this letter, we propose a dually connected deraining net using pixel-wise attention, for single image rain removal. Specifically, the deraining net adopts an encoder-decoder net as a backbone, which can effectively learn a residual rain-streaks map by jointly using skip sum connection and skip concatenation connection. The dual connections enable the deraining net to promote information flow between layers, and thus can allow it to discriminate and localize the rain streaks. To preserve image details, the decoded features are weighted by the learnable pixel-wise attention for adaptively recalibrating their responses. Experimental results on synthetic datasets demonstrate that the proposed model outperforms the recent state-of-the-art deraining methods.

Language英语
WOS SubjectEngineering, Electrical & Electronic
WOS Research AreaEngineering
Funding ProjectNational Natural Science Foundation of China[91648118] ; National Natural Science Foundation of China[61991413] ; National Natural Science Foundation of China[61821005] ; LiaoNing Revitalization Talents Program
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/26441
Collection机器人学研究室
Corresponding AuthorTian JD(田建东)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Huairou 100049, China
Recommended Citation
GB/T 7714
Ren WH,Tian JD,Wang Q,et al. Dually Connected Deraining Net Using Pixel-Wise Attention[J]. IEEE Signal Processing Letters,2020,27:316-320.
APA Ren WH,Tian JD,Wang Q,&Tang YD.(2020).Dually Connected Deraining Net Using Pixel-Wise Attention.IEEE Signal Processing Letters,27,316-320.
MLA Ren WH,et al."Dually Connected Deraining Net Using Pixel-Wise Attention".IEEE Signal Processing Letters 27(2020):316-320.
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