{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:17:25Z","timestamp":1771467445704,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41901276"],"award-info":[{"award-number":["41901276"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003489","name":"High Level Talent Fund Project of Henan University of Technology","doi-asserted-by":"publisher","award":["2018BS054"],"award-info":[{"award-number":["2018BS054"]}],"id":[{"id":"10.13039\/501100003489","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3130578","type":"journal-article","created":{"date-parts":[[2021,11,25]],"date-time":"2021-11-25T20:26:49Z","timestamp":1637872009000},"page":"159447-159456","source":"Crossref","is-referenced-by-count":12,"title":["MR-UNet Commodity Semantic Segmentation Based on Transfer Learning"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2071-6212","authenticated-orcid":false,"given":"Zhengrong","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2799-1978","authenticated-orcid":false,"given":"Like","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1016-9470","authenticated-orcid":false,"given":"Haixiao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","article-title":"A review on deep learning techniques applied to semantic segmentation","author":"garcia-garcia","year":"2017","journal-title":"arXiv 1704 06857"},{"key":"ref32","year":"2021","journal-title":"Fashion Product Images Dataset"},{"key":"ref31","article-title":"Progressive neural networks","author":"rusu","year":"2016","journal-title":"arXiv 1606 04671"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10584-0_23"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.23915\/distill.00003"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3003914"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01138"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0177678"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-7721(96)00024-7"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00147-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2019.164123"},{"key":"ref13","first-page":"1","article-title":"Intensity based image segmentation using wavelet analysis and clustering techniques","volume":"2","author":"kaur","year":"2011","journal-title":"Indian J Comput Sci Eng"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2006.03.026"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/21.478444"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XL-7-W4-197-2015"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2003.1247272"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2940476"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref4","first-page":"236","article-title":"Dynamic programming and curve fitting based road boundary detection","author":"adhikari","year":"2010","journal-title":"Proc 9th Int Conf Comput Intell Man-Mach Syst Cybern"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2178315"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/34.3881"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1153"},{"key":"ref29","first-page":"818","article-title":"Visualizing and understanding convolutional networks","author":"zeiler","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1995.466792"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/2945.817348"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2002.806231"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"ref1","first-page":"12","article-title":"A review paper on image segmentation and its various techniques in image processing","volume":"3","author":"kaur","year":"2014","journal-title":"Int J Sci Res"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-05105-4_2"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref22","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":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053405"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-030-00889-5_1","article-title":"UNet++: A nested U-Net architecture for medical image segmentation","author":"zhou","year":"2018","journal-title":"Deep Learn Med Image Anal and Multimodal Learn for Clin Decis Support"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs12071128"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09627129.pdf?arnumber=9627129","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T21:50:51Z","timestamp":1646776251000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9627129\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3130578","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}