{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T20:14:52Z","timestamp":1792786492092,"version":"4.5.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Fundamental Research Funds for the Central Universities","award":["26CAFUC03034"],"award-info":[{"award-number":["26CAFUC03034"]}]},{"name":"Civil Aviation Flight University of China","award":["25CAFUC09010"],"award-info":[{"award-number":["25CAFUC09010"]}],"id":[{"id":"https:\/\/ror.org\/01xyb1v19","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Civil Aviation Information Technology Research Center"},{"name":"Henan Province Key Research and Development Special Fund","award":["251111242100"],"award-info":[{"award-number":["251111242100"]}]},{"name":"Funds for the Civil Aviation Administration of China (CAAC) Key Laboratory of Flight Techniques and Flight Safety","award":["FZ2025ZX34"],"award-info":[{"award-number":["FZ2025ZX34"]}],"id":[{"id":"https:\/\/ror.org\/05gfwht30","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3732131","type":"journal-article","created":{"date-parts":[[2026,9,8]],"date-time":"2026-09-08T19:05:31Z","timestamp":1788894331000},"page":"141773-141792","source":"Crossref","is-referenced-by-count":0,"title":["ShufflePaste: Four-Way Structural Disturbance Learning With Swin Transformer for Industrial Anomaly Detection"],"prefix":"10.1109","volume":"14","author":[{"given":"Yuezhou","family":"Wu","sequence":"first","affiliation":[{"name":"Civil Aviation Flight University of China","place":["Guanghan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5724-8368","authenticated-orcid":false,"given":"Wenan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Civil Aviation Flight University of China","place":["Guanghan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiang","family":"Fu","sequence":"additional","affiliation":[{"name":"Civil Aviation Flight University of China","place":["Guanghan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaogen","family":"Ye","sequence":"additional","affiliation":[{"name":"Civil Aviation Flight University of China","place":["Guanghan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2019.00982"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2352\/j.imagingsci.technol.2024.68.2.020412"},{"key":"ref3","article-title":"A survey on visual anomaly detection: Challenge, approach, and prospect","author":"Cao","year":"2024","journal-title":"arXiv:2401.16402"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.00954"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_12"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20893-6_39"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00822"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2025.3570494"},{"key":"ref9","article-title":"Sub-image anomaly detection with deep pyramid correspondences","author":"Cohen","year":"2020","journal-title":"arXiv:2005.02357"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68799-1_35"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01392"},{"key":"ref12","article-title":"FastFlow: Unsupervised anomaly detection and localization via 2D normalizing flows","author":"Yu","year":"2021","journal-title":"arXiv:2111.07677"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/wacv51458.2022.00188"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5244\/c.35.349"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00951"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/wacv57701.2024.00020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/access.2021.3124525"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.01954"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52733.2024.01580"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/access.2025.3580864"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/access.2025.3603201"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i4.25604"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00986"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/access.2022.3171559"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/access.2025.3611966"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs15040949"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/taes.2025.3580691"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.01878"},{"key":"ref29","first-page":"49705","article-title":"AnomalyCLIP: Object-agnostic prompt learning for zero-shot anomaly detection","volume-title":"Proc. 12th Int. Conf. Learn. Represent. (ICLR)","author":"Zhou"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/iccv51070.2023.00371"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/s0047-259x(03)00096-4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20056-4_23"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/isie45552.2021.9576231"},{"key":"ref34","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017","journal-title":"arXiv:1708.04552"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19821-2_27"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.59275\/j.melba.2022-e651"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87240-3_56"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69544-6_23"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/wacv48630.2021.00195"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/icpr48806.2021.9412109"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.00382"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.00381"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.52202\/079017-2274"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11683729.pdf?arnumber=11683729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T16:36:26Z","timestamp":1790267786000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11683729\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3732131","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}