{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T10:05:56Z","timestamp":1760609156399,"version":"3.37.3"},"reference-count":48,"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":["61806220"],"award-info":[{"award-number":["61806220"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research Development Program of China","award":["2017YFB0802800"],"award-info":[{"award-number":["2017YFB0802800"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2919802","type":"journal-article","created":{"date-parts":[[2019,5,29]],"date-time":"2019-05-29T15:46:16Z","timestamp":1559144776000},"page":"71412-71422","source":"Crossref","is-referenced-by-count":10,"title":["X-Net: A Binocular Summation Network for Foreground Segmentation"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9588-8828","authenticated-orcid":false,"given":"Jin","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Feiqiong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zhisong","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Xingyu","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Yudong","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9065-0872","authenticated-orcid":false,"given":"Shanshan","family":"Jiao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6238925"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6238920"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"key":"ref32","first-page":"231","article-title":"Fast conical hull algorithms for near-separable non-negative matrix factorization","author":"kumar","year":"2013","journal-title":"Proc IEEE Int'l Conf Machine Learning"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/428\/1\/012022"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref37","first-page":"246","article-title":"Adaptive background mixture models for real-time tracking","author":"stauffer","year":"1999","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref36","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc IEEE Int Conf Learn Represent"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2012.6238919"},{"key":"ref34","first-page":"393","article-title":"An expanded change detection benchmark dataset","author":"wang","year":"2014","journal-title":"Proc IEEE Int Conf Comput Vis Pattern Recognit"},{"key":"ref10","first-page":"878","article-title":"Background subtraction algorithm based on Bayesian generative adversarial networks","volume":"44","author":"zheng","year":"2018","journal-title":"Acta Autom Sinica"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2014.04.001"},{"key":"ref11","article-title":"Learning multi-scale features for foreground segmentation","author":"lim","year":"2018","journal-title":"arXiv 1808 01477"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.08.002"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2017.8019397"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2017.8078547"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5460-9"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.jvcir.2018.10.001","article-title":"Attention guided U-Net for accurate iris segmentation","volume":"56","author":"li","year":"2018","journal-title":"J Vis Commun Image Represent"},{"key":"ref17","first-page":"1","article-title":"Image segmentation applied to satellite imagery for monitoring water in lakes and reservoirs","volume":"1214","author":"sparavigna","year":"2018","journal-title":"Philica"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.10.009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.11.034"},{"key":"ref28","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/387464"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00931-1_76"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.neucom.2014.12.105","article-title":"Unsupervised pixel-level video foreground object segmentation via shortest path algorithm","volume":"172","author":"cao","year":"2015","journal-title":"Neurocomputing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2017.2694160"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.09.040"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IWSSIP.2016.7502717"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/TPAMI.2013.111","article-title":"Anomaly detection and localization in crowded scenes","volume":"36","author":"li","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2015.7351412"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2016.09.014"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1167\/14.14.6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/ca.22385"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/0042-6989(78)90206-7"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2015.06.013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3758\/BF03198631"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2010.10.009"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/0042-6989(70)90060-X"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8297144"},{"key":"ref24","first-page":"852","article-title":"Clockwork convnets for video semantic segmentation","author":"shelhamer","year":"2016","journal-title":"Proc IEEE Eur Conf Comput Vis"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.2014EDL8234"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref44","first-page":"180","article-title":"Deep feedforward networks","author":"bengio","year":"2016","journal-title":"Deep Learning"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2738149"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1201\/b17223"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08725513.pdf?arnumber=8725513","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:54:25Z","timestamp":1641988465000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8725513\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2919802","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}