{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T01:08:42Z","timestamp":1775264922167,"version":"3.50.1"},"reference-count":45,"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":["61661036"],"award-info":[{"award-number":["61661036"]}],"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":["61866028"],"award-info":[{"award-number":["61866028"]}],"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":["61663031"],"award-info":[{"award-number":["61663031"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009554","name":"Open Foundation of Key Laboratory of Nondestructive Testing (Ministry of Education), Nanchang Hangkong University","doi-asserted-by":"publisher","award":["ZD201529003"],"award-info":[{"award-number":["ZD201529003"]}],"id":[{"id":"10.13039\/100009554","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Open Foundation of Key Laboratory of Lunar and Deep Space Exploration, Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["LDSE201705"],"award-info":[{"award-number":["LDSE201705"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010857","name":"Key Program Project of Research and Development, Jiangxi Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["20171ACE50024"],"award-info":[{"award-number":["20171ACE50024"]}],"id":[{"id":"10.13039\/501100010857","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010857","name":"Key Program Project of Research and Development, Jiangxi Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["20192BBE50073"],"award-info":[{"award-number":["20192BBE50073"]}],"id":[{"id":"10.13039\/501100010857","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"Foundation of China Scholarship Council","doi-asserted-by":"publisher","award":["CSC201808360294"],"award-info":[{"award-number":["CSC201808360294"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"Foundation of China Scholarship Council","doi-asserted-by":"publisher","award":["CSC201908360075"],"award-info":[{"award-number":["CSC201908360075"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3023746","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T21:10:39Z","timestamp":1600117839000},"page":"167585-167595","source":"Crossref","is-referenced-by-count":10,"title":["Human Segmentation Based on Compressed Deep Convolutional Neural Network"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3258-3322","authenticated-orcid":false,"given":"Jun","family":"Miao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0878-7963","authenticated-orcid":false,"given":"Keqiang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7261-3821","authenticated-orcid":false,"given":"Xuan","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5667-224X","authenticated-orcid":false,"given":"Lu","family":"Leng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2408-3982","authenticated-orcid":false,"given":"Jun","family":"Chu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and Huffman coding","author":"han","year":"2015","journal-title":"arXiv 1510 00149 [cs]"},{"key":"ref38","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-3058-7"},{"key":"ref32","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and & ¡ 0.5 MB model size","author":"iandola","year":"2016","journal-title":"arXiv 1602 07360"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"6","author":"alex","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","article-title":"Gradient-based learning applied to document recognition","volume":"86","author":"yann","year":"1998","journal-title":"Proc IEEE"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.273"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.08.028"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2015.01.021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref40","first-page":"467","article-title":"Relay backpropagation for effective learning of deep convolutional neural networks. European conference on computer vision","author":"shen","year":"2016","journal-title":"Proc ECCV"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-018-0556-3"},{"key":"ref13","first-page":"466","article-title":"Human body image segmentation algorithm based on deep learning","volume":"2017","author":"wang","year":"0","journal-title":"J Wuhan Univ (Nat Sci Ed )"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.12814"},{"key":"ref15","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref16","article-title":"Incremental network quantization: Towards lossless CNNs with low-precision weights","author":"zhou","year":"2017","journal-title":"arXiv 1702 03044"},{"key":"ref17","article-title":"Compressing deep convolutional networks using vector quantization","author":"gong","year":"2014","journal-title":"arXiv 1412 6115"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.155"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00821"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/rs10101618"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-008-0191-z"},{"key":"ref27","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015720"},{"key":"ref6","first-page":"109","article-title":"Efficient inference in fully connected crfs with Gaussian edge potentials","author":"philipp","year":"2011","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2020.1730472"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.233"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1117\/1.2740762"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1576246.1531375"},{"key":"ref2","first-page":"105","article-title":"Interactive graph cuts for optimal boundary & region segmentation of objects in ND images","author":"boykov","year":"2001","journal-title":"Proc ICCV"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2911358"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00958"},{"key":"ref45","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017","journal-title":"arXiv 1706 05587"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/72.248452"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2950374"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-014-0733-5"},{"key":"ref24","article-title":"Pruning filters for efficient ConvNets","author":"li","year":"2016","journal-title":"arXiv 1608 08710"},{"key":"ref41","first-page":"562","article-title":"Deeply-supervised nets","author":"lee","year":"2015","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.78"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.298"},{"key":"ref43","first-page":"1","article-title":"Semantic understanding of scenes through the ade20k dataset","volume":"2016","author":"zhou","year":"2016","journal-title":"Int J Comput Vis"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.541"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09195490.pdf?arnumber=9195490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:54Z","timestamp":1639770954000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9195490\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3023746","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}