{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T21:36:09Z","timestamp":1771018569219,"version":"3.50.1"},"reference-count":34,"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\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3660103","type":"journal-article","created":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T20:56:06Z","timestamp":1770152166000},"page":"20716-20733","source":"Crossref","is-referenced-by-count":0,"title":["CLIP-Core: A Few-Sample Anomaly Detection Method for Surface Defects"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5671-4510","authenticated-orcid":false,"given":"Liang","family":"Xu","sequence":"first","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0788-7604","authenticated-orcid":false,"given":"Junle","family":"Rao","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4880-8858","authenticated-orcid":false,"given":"Shuyou","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-023-1459-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/app11167657"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01392"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-68799-1_35"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00954"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00459"},{"key":"ref7","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01878"},{"key":"ref9","first-page":"17382","article-title":"A zero-\/few-shot anomaly classification and segmentation method for CVPR 2023 (VAND) workshop challenge tracks 1 &2","volume-title":"First Place Zero-shot AD Fourth Place Few-shot AD","volume":"2305","author":"Chen"},{"key":"ref10","article-title":"AnomalyCLIP: Object-agnostic prompt learning for zero-shot anomaly detection","author":"Zhou","year":"2023","journal-title":"arXiv:2310.18961"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7439(99)00047-7"},{"key":"ref12","article-title":"Gromov\u2013Wasserstein autoencoders","author":"Nakagawa","year":"2022","journal-title":"arXiv:2209.07007"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2106.12423"},{"key":"ref15","article-title":"ViTGAN: Training GANs with vision transformers","author":"Lee","year":"2021","journal-title":"arXiv:2107.04589"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00822"},{"key":"ref18","article-title":"Sub-image anomaly detection with deep pyramid correspondences","author":"Cohen","year":"2020","journal-title":"arXiv:2005.02357"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19836-6_26"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i3.27963"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01594"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_18"},{"key":"ref23","article-title":"Pushing the limits of fewshot anomaly detection in industry vision: Graphcore","author":"Xie","year":"2023","journal-title":"arXiv:2301.12082"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref25","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6451"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412955"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093632"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00116"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref31","article-title":"Dice loss for data-imbalanced NLP tasks","author":"Li","year":"2019","journal-title":"arXiv:1911.02855"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00982"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20056-4_23"},{"key":"ref34","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11370711.pdf?arnumber=11370711","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T20:51:31Z","timestamp":1771015891000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11370711\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3660103","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}