{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T09:24:23Z","timestamp":1748683463893,"version":"3.37.3"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61922064","U2033210","62101387"],"award-info":[{"award-number":["61922064","U2033210","62101387"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3210190","type":"journal-article","created":{"date-parts":[[2022,9,26]],"date-time":"2022-09-26T20:39:19Z","timestamp":1664224759000},"page":"103872-103879","source":"Crossref","is-referenced-by-count":6,"title":["Deep Feature Interactive Aggregation Network for Single Image Deraining"],"prefix":"10.1109","volume":"10","author":[{"given":"Shaoli","family":"Cao","sequence":"first","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liying","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5787-2705","authenticated-orcid":false,"given":"Li","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuewang","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1891-0542","authenticated-orcid":false,"given":"Jiawei","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0958-7285","authenticated-orcid":false,"given":"Xiaoqin","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Artificial Intelligence, Wenzhou University, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00406"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00400"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_16"},{"key":"ref30","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00401"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.3039393"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.23919\/CCC52363.2021.9549873"},{"key":"ref11","article-title":"Instance normalization: The missing ingredient for fast stylization","author":"ulyanov","year":"2016","journal-title":"arXiv 1607 08022"},{"key":"ref12","article-title":"Wide activation for efficient and accurate image super-resolution","author":"yu","year":"2018","journal-title":"arXiv 1808 08718"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref14","article-title":"Layer normalization","author":"lei ba","year":"2016","journal-title":"arXiv 1607 06450"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.276"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.247"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.186"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00079"},{"key":"ref19","first-page":"147","article-title":"Residual multiscale based single image deraining","author":"zheng","year":"2019","journal-title":"Proc BMVC"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00837"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.299"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.1994.413553"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2258306"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.183"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2920407"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2179057"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00574"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref9","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58580-8_24"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3067062"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107404"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3093928"},{"key":"ref26","article-title":"Video super-resolution transformer","author":"cao","year":"2021","journal-title":"arXiv 2106 06847"},{"key":"ref25","article-title":"An image is worth 16×16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09903649.pdf?arnumber=9903649","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:50:14Z","timestamp":1667515814000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9903649\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3210190","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}