{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:02:56Z","timestamp":1779382976798,"version":"3.53.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","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":["62002146"],"award-info":[{"award-number":["62002146"]}],"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":["61976109"],"award-info":[{"award-number":["61976109"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018617","name":"Liaoning Revitalization Talents Program","doi-asserted-by":"publisher","award":["XLYC1807073"],"award-info":[{"award-number":["XLYC1807073"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018617","name":"Liaoning Revitalization Talents Program","doi-asserted-by":"publisher","award":["XLYC2006005"],"award-info":[{"award-number":["XLYC2006005"]}],"id":[{"id":"10.13039\/501100018617","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Project of Liaoning Province","award":["LJKZ0963"],"award-info":[{"award-number":["LJKZ0963"]}]},{"name":"Key Research and Development Projects of Liaoning Provincial Department of Science and Technology"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3283589","type":"journal-article","created":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T17:38:12Z","timestamp":1686159492000},"page":"61390-61400","source":"Crossref","is-referenced-by-count":11,"title":["NDT Method for Weld Defects Based on FMPVit Transformer Model"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5865-3280","authenticated-orcid":false,"given":"Yang","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Computer and Information Technology, Liaoning Normal University, Dalian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4612-5848","authenticated-orcid":false,"given":"Kun","family":"Yuan","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Technology, Liaoning Normal University, Dalian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8935-8820","authenticated-orcid":false,"given":"Tian","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Technology, Liaoning Normal University, Dalian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sha","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Technology, Liaoning Normal University, Dalian, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2021.3109353"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmapro.2019.06.023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006613"},{"key":"ref15","first-page":"15908","article-title":"Transformer in transformer","volume":"34","author":"han","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/app12157837"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/03772063.2022.2040387"},{"key":"ref36","year":"0","journal-title":"Weld Quality Inspection Items (JPEGWD Weld Data Set)"},{"key":"ref31","article-title":"How much position information do convolutional neural networks encode?","author":"amirul islam","year":"2020","journal-title":"arXiv 2001 08248"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.225"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s12541-019-00074-4"},{"key":"ref33","first-page":"14262","article-title":"On translation invariance in CNNs: Convolutional layers can exploit absolute spatial location","author":"kayhan","year":"2020","journal-title":"Proc IEEE\/CVF Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01505-9"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s40194-021-01229-6"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s40194-021-01228-7"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.01.004"},{"key":"ref16","article-title":"An image is worth 16&#x00D7;16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ElConRus51938.2021.9396301"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103689"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-08538-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00983"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCS45141.2019.9065537"},{"key":"ref23","article-title":"Focal self-attention for local-global interactions in vision transformers","author":"yang","year":"2021","journal-title":"arXiv 2107 00641"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00714"},{"key":"ref26","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref48","article-title":"Harnessing the power of CNNs for unevenly-sampled light-curves using Markov transition field","volume":"35","author":"bugue no","year":"2021","journal-title":"Astron Comput"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01204"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2955241"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac6fb2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00520"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2017.8296389"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00061"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref21","first-page":"20014","article-title":"Xcit: Cross-covariance image transformers","volume":"34","author":"el-nouby","year":"2021","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00060"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00009"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-021-01019-w"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.12.010"},{"key":"ref7","first-page":"1","article-title":"Attention is all you need","volume":"30","author":"vaswani","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2022.10.001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s40194-021-01211-2"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3183468"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-021-00444-8","article-title":"Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions","volume":"8","author":"alzubaidi","year":"2021","journal-title":"J Big Data"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-0035-0_20"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10145435.pdf?arnumber=10145435","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T19:38:36Z","timestamp":1689017916000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10145435\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3283589","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}