{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:43:56Z","timestamp":1775069036711,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"name":"Research Fund from Chosun University, in 2023"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3454753","type":"journal-article","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T18:34:18Z","timestamp":1725561258000},"page":"127604-127613","source":"Crossref","is-referenced-by-count":4,"title":["Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2231-5209","authenticated-orcid":false,"given":"Jun-Hyung","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3486-8812","authenticated-orcid":false,"given":"Goo-Rak","family":"Kwon","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3282993"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3196436"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2868490"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICTEmSys.2019.8695928"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2018.2886031"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412842"},{"key":"ref8","article-title":"Improving unsupervised defect segmentation by applying structural similarity to autoencoders","author":"Bergmann","year":"2018","journal-title":"arXiv:1807.02011"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107706"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00293"},{"key":"ref12","article-title":"Sub-image anomaly detection with deep pyramid correspondences","author":"Cohen","year":"2020","journal-title":"arXiv:2005.02357"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68799-1_35"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01392"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00954"},{"key":"ref16","first-page":"1","article-title":"Superpixel masking and inpainting for self-supervised anomaly detection","volume-title":"Proc. BMVC","author":"Li"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00158"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00822"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19821-2_27"},{"key":"ref20","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3199228"},{"key":"ref22","article-title":"Googles neural machine translation system: Bridging the gap between human and machine translation","author":"Wu","year":"2016","journal-title":"arXiv:1609.08144"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06430-2_33"},{"key":"ref24","article-title":"IBOT: Image BERT pre-training with online tokenizer","author":"Zhou","year":"2021","journal-title":"arXiv:2111.07832"},{"key":"ref25","article-title":"DINOv2: Learning robust visual features without supervision","author":"Oquab","year":"2023","journal-title":"arXiv:2304.07193"},{"key":"ref26","article-title":"Vision transformers need registers","author":"Darcet","year":"2023","journal-title":"arXiv:2309.16588"},{"key":"ref27","article-title":"An image is worth 16 \u00d7 16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3171559"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065722500307"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992393"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"ref35","first-page":"1","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Neural Inf. Process. Syst.","volume":"30","author":"Tarvainen"},{"key":"ref36","first-page":"12116","article-title":"Do vision transformers see like convolutional neural networks?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Raghu"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.461"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/325165.325247"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3530811"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17664"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00717"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00982"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE45552.2021.9576231"},{"key":"ref44","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2017","journal-title":"arXiv:1711.05101"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2024.3390806"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3322604"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00188"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01321"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10666671.pdf?arnumber=10666671","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T07:22:55Z","timestamp":1726730575000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10666671\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3454753","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}