{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:19:54Z","timestamp":1740169194582,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"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":["61872231","61701297"],"award-info":[{"award-number":["61872231","61701297"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Education Research Fund Project","award":["C17053"],"award-info":[{"award-number":["C17053"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3027019","type":"journal-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T22:47:11Z","timestamp":1601419631000},"page":"179083-179093","source":"Crossref","is-referenced-by-count":2,"title":["A Novel Semantic Segmentation Model for Chinese Characters"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9687-2027","authenticated-orcid":false,"given":"Zhenyu","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7249-698X","authenticated-orcid":false,"given":"Jin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiyao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yihe","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4628-7425","authenticated-orcid":false,"given":"Huihua","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2015.02.014"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CCPR.2010.5659334"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref32","first-page":"1","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"chen","year":"2015","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref30","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1186562.1015720"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/34.244677"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2016.10.004"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s100320200071"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-013-0208-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-010-0122-8"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-017-2218-0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2018.2840679"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2009.183"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2015.7333803"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR.2016.0014"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2809544.2809546"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2017.147"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2012.11.007"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2003.1227832"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-007-0092-0"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2009.79"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1999.791838"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SBRN.2012.41"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.1995.602080"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.150"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2937353"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(02)00041-9"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref45","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/34.506792"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.17"},{"key":"ref21","first-page":"1603","article-title":"A novel approach of segmenting touching and kerned characters","author":"liu","year":"2001","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref42","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref24","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2844175"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.176"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1046151"},{"key":"ref25","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc Eur Conf Comput Vis"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09206578.pdf?arnumber=9206578","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:13Z","timestamp":1639770973000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9206578\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3027019","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2020]]}}}