{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T08:17:45Z","timestamp":1785053865344,"version":"3.55.0"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,8,1]],"date-time":"2020-08-01T00:00:00Z","timestamp":1596240000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Science and Technology Major Project","award":["2011ZX02504-008"],"award-info":[{"award-number":["2011ZX02504-008"]}]},{"name":"Jiangsu Achievement Conversion Project","award":["BA2016135"],"award-info":[{"award-number":["BA2016135"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2020,8]]},"DOI":"10.1109\/tim.2019.2962565","type":"journal-article","created":{"date-parts":[[2020,1,21]],"date-time":"2020-01-21T20:58:01Z","timestamp":1579640281000},"page":"5298-5307","source":"Crossref","is-referenced-by-count":39,"title":["A Lightweight Appearance Quality Assessment System Based on Parallel Deep Learning for Painted Car Body"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7655-6350","authenticated-orcid":false,"given":"Fei","family":"Chang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3625-2296","authenticated-orcid":false,"given":"Mingyu","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7273-0518","authenticated-orcid":false,"given":"Min","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1226-2801","authenticated-orcid":false,"given":"Ling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2901-7135","authenticated-orcid":false,"given":"Yunqiang","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_26"},{"key":"ref32","article-title":"Salient object detection: A survey","author":"borji","year":"2014","journal-title":"arXiv 1411 5878"},{"key":"ref31","article-title":"Dssd: Deconvolutional single shot detector","author":"fu","year":"2017"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_45"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00663"},{"key":"ref35","article-title":"SNIPER: Efficient Multi-Scale Training","author":"singh","year":"2018","journal-title":"Proc Adv in Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2004.08.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZY.2006.1681903"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COASE.2010.5584643"},{"key":"ref13","first-page":"415","article-title":"Inspection of specular and partially specular surfaces","volume":"16","author":"werling","year":"2009","journal-title":"Metrology Meas Syst"},{"key":"ref14","year":"2013","journal-title":"The Dirt on Ford&#x2019;s 3D Dirt-Detection Technology"},{"key":"ref15","first-page":"57","article-title":"Automatic inspection system for car body paint defect","volume":"20","author":"kong","year":"2017"},{"key":"ref16","year":"0","journal-title":"Inspection System for Shiny Surfaces"},{"key":"ref17","year":"2018","journal-title":"PAINTSCAN - Reliable Inline Inspection of Painted Components"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICI.2011.47"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2017.04.009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/app8091575"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2015.2497264"},{"key":"ref27","article-title":"Feature-fused SSD: Fast detection for small objects","author":"cao","year":"2018","journal-title":"Proc 9th Int Conf Graphic Image Process (IGIP)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1364\/AO.56.000184"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2016.2587378"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1364\/AO.54.009823"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2005.12.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ab1467"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1117\/1.OE.56.5.053108"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SICE.2006.315177"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2011.02.002"},{"key":"ref20","article-title":"Bing++: A fast high quality object proposal generator at 100fps","author":"zhang","year":"0","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref24","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018"},{"key":"ref23","article-title":"Deep learning for generic object detection: A survey","author":"liu","year":"2019","journal-title":"Int J Comput Vis"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2016.03.023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9123773\/08964458.pdf?arnumber=8964458","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:33:55Z","timestamp":1651070035000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8964458\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8]]},"references-count":37,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tim.2019.2962565","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8]]}}}