{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T15:33:08Z","timestamp":1792942388384,"version":"4.5.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61573135"],"award-info":[{"award-number":["61573135"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1813205"],"award-info":[{"award-number":["U1813205"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Technology Support Program","award":["2015BAF11B01"],"award-info":[{"award-number":["2015BAF11B01"]}]},{"name":"National Key Scientific Instrument and Equipment Development Project of China","award":["2013YQ140517"],"award-info":[{"award-number":["2013YQ140517"]}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201806130030"],"award-info":[{"award-number":["201806130030"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Research and Development Project of Science and Technology Plan of Hunan Province","award":["2018GK2021"],"award-info":[{"award-number":["2018GK2021"]}]},{"name":"Hunan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing","award":["2018001"],"award-info":[{"award-number":["2018001"]}]},{"name":"Science and Technology Plan Project of Shenzhen City","award":["JCYJ20170306141557198"],"award-info":[{"award-number":["JCYJ20170306141557198"]}]},{"name":"Key Project of Science and Technology Plan of Guagdong Province","award":["2013B011301014"],"award-info":[{"award-number":["2013B011301014"]}]},{"name":"Key Project of Science and Technology Plan of Changsha City","award":["kq1801003"],"award-info":[{"award-number":["kq1801003"]}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01CA165255"],"award-info":[{"award-number":["R01CA165255"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2018.2886524","type":"journal-article","created":{"date-parts":[[2018,12,14]],"date-time":"2018-12-14T21:54:40Z","timestamp":1544824480000},"page":"2263-2272","source":"Crossref","is-referenced-by-count":7,"title":["Locally Shared Features: An Efficient Alternative to Conditional Random Field for Semantic Segmentation"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6880-4441","authenticated-orcid":false,"given":"Zhengeng","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongshan","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhihong","family":"Mao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingui","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref33","author":"abadi","year":"2016","journal-title":"Tensorflow Large-scale machine learning on heterogeneous distributed systems"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.544"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref37","author":"chen","year":"2017","journal-title":"Rethinking atrous convolution for semantic image segmentation"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126343"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref13","author":"wu","year":"2016","journal-title":"Wider or deeper Revisiting the resnet model for visual recognition"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.189"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00690"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00199"},{"key":"ref17","author":"chen","year":"2014","journal-title":"Semantic image segmentation with deep convolutional nets and fully connected crfs"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.348"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.392"},{"key":"ref4","first-page":"679","article-title":"Geometry driven semantic labeling of indoor scenes","author":"khan","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref27","author":"zhou","year":"2014","journal-title":"Object detectors emerge in deep scene cnns"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.79"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref29","author":"wu","year":"2018","journal-title":"Group normalization"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","author":"simonyan","year":"2014","journal-title":"Very Deep Convolutional Networks for Large-scale Image Recognition"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130298"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.231"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.03.037"},{"key":"ref20","first-page":"4","article-title":"Efficient inference in fully connected crfs with gaussian edge potentials","volume":"2","author":"koltun","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00747"},{"key":"ref26","first-page":"562","article-title":"Deeply-supervised nets","author":"lee","year":"2015","journal-title":"Proc Mach Learn Res Artif Intell Statist"},{"key":"ref25","author":"ioffe","year":"2015","journal-title":"Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08576986.pdf?arnumber=8576986","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T01:06:33Z","timestamp":1643159193000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8576986\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2886524","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}