{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T06:17:29Z","timestamp":1780640249571,"version":"3.54.1"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003790","name":"Hiroshima City University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003790","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3541640","type":"journal-article","created":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T18:43:51Z","timestamp":1739472231000},"page":"30762-30778","source":"Crossref","is-referenced-by-count":2,"title":["PolAttNet: A Deep Learning Framework for Polarized Image Reflection Removal With Multi-Attention Mechanisms"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3243-3244","authenticated-orcid":false,"given":"Chao","family":"Wang","sequence":"first","affiliation":[{"name":"Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7312-0543","authenticated-orcid":false,"given":"Daisuke","family":"Miyazaki","sequence":"additional","affiliation":[{"name":"Graduate School of Information Sciences, Hiroshima City University, Hiroshima, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1999.786949"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.17.000276"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00503"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00837"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.351"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00833"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298939"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2018.2829190"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3121884"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.45"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909712"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_6"},{"key":"ref13","first-page":"14532","article-title":"Reflection separation using a pair of unpolarized and polarized images","volume":"32","author":"Lyu","year":"2019","journal-title":"Adv. Neural Inf. Process. Syst. (NeurIPS)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00182"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1106"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.346"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.190"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2000.855826"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.281"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00165"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/ima.20042"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/34.85655"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_40"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPHOT.2018.8368464"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00521"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00362"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2951461"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00389"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00253"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00497"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10446021"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref35","first-page":"15908","article-title":"Transformer in transformer","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Han"},{"key":"ref36","first-page":"10347","article-title":"Training data-efficient image transformers & distillation through attention","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Touvron"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00564"},{"key":"ref38","first-page":"233","article-title":"On the composition and resolution of streams of polarized light from different sources","volume":"9","author":"Stokes","year":"1852","journal-title":"Trans. Cambridge Philos. Soc."},{"key":"ref39","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Simonyan"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_1"},{"key":"ref43","article-title":"Gaussian error linear units (GELUs)","author":"Hendrycks","year":"2016","journal-title":"arXiv:1606.08415"},{"key":"ref44","first-page":"5156","article-title":"Transformers are RNNs: Fast autoregressive transformers with linear attention","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Katharopoulos"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1603.08155"},{"key":"ref46","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299051"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238455"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1117"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0262-9"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3429383"},{"key":"ref52","first-page":"1135","article-title":"Learning both weights and connections for efficient neural networks","volume":"28","author":"Han","year":"2015","journal-title":"Adv. Neural Inf. Process. Syst. (NeurIPS)"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-04316-3"},{"key":"ref54","first-page":"2943","article-title":"Rigging the lottery: Making all tickets winners","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Evci"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723009"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01377"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3185550"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3233131"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3236346"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3388153"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01918"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107562"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3023609"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.42"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2903496"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2021PCP0002"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO54536.2021.9616011"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.5244\/c.31.136"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_31"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10884746.pdf?arnumber=10884746","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T20:51:02Z","timestamp":1740084662000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10884746\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":70,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3541640","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}