{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T16:46:47Z","timestamp":1782406007458,"version":"3.54.5"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2021GCRC058"],"award-info":[{"award-number":["2021GCRC058"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012483","name":"High Performance Computing (HPC) Platform of the Huazhong University of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012483","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Syst. Man Cybern, Syst."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tsmc.2025.3648581","type":"journal-article","created":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T18:44:57Z","timestamp":1767206697000},"page":"1747-1760","source":"Crossref","is-referenced-by-count":5,"title":["Toward Zero-Shot Point Cloud Anomaly Detection: A Multiview Projection Framework"],"prefix":"10.1109","volume":"56","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1994-7301","authenticated-orcid":false,"given":"Yuqi","family":"Cheng","sequence":"first","affiliation":[{"name":"National Center of Technology Innovation for Intelligent Design and Numerical Control, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7619-6618","authenticated-orcid":false,"given":"Yunkang","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Robotics, Hunan University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8433-8153","authenticated-orcid":false,"given":"Guoyang","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Intelligent Manufacturing, Contemporary Amperex Technology Ltd., Ningde, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4618-3573","authenticated-orcid":false,"given":"Zhichao","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, City University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5204-7992","authenticated-orcid":false,"given":"Weiming","family":"Shen","sequence":"additional","affiliation":[{"name":"National Center of Technology Innovation for Intelligent Design and Numerical Control, Huazhong University of Science and Technology, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3228590"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2022.3166397"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5220\/0010865000003124"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CASE59546.2024.10711763"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tro.2023.3344025"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ac8ac1"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3413191"},{"key":"ref8","article-title":"Point cloud segmentation of integrated circuits package substrates surface defects using causal inference: Dataset construction and methodology","author":"Guo","year":"2025","journal-title":"arXiv:2511.05853"},{"key":"ref9","article-title":"Towards high-resolution 3D anomaly detection: A scalable dataset and real-time framework for subtle industrial defects","author":"Cheng","year":"2025","journal-title":"arXiv:2507.07435"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2025.11.022"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110761"},{"key":"ref12","first-page":"30402","article-title":"Real3D-AD: A dataset of point cloud anomaly detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Liu"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2023.3344383"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tsmc.2022.3229096"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2025.3544462"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01878"},{"key":"ref17","article-title":"APRIL-GAN: A zero-\/few-shot anomaly classification and segmentation method for CVPR 2023 VAND workshop challenge tracks 1&2: 1st place on zero-shot AD and 4th place on few-shot AD","volume-title":"arXiv:2305.17382","author":"Chen"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2025.3536165"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72761-0_4"},{"key":"ref20","first-page":"22563","article-title":"Anomaly detection of integrated circuits package substrates using the large vision model saic: Dataset construction, methodology, and application","volume-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis.","author":"Yu"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2021.3127716"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2022.3199228"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2020.3027724"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611876"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3130074"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2024.3357213"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11633-023-1459-z"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2023.3241579"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00951"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.02348"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00195"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01392"},{"key":"ref33","article-title":"Pushing the limits of fewshot anomaly detection in industry vision: Graphcore","author":"Xie","year":"2023","journal-title":"arXiv:2301.12082v3"},{"key":"ref34","article-title":"Anomagic: Crossmodal prompt-driven zero-shot anomaly generation","author":"Jiang","year":"2025","journal-title":"arXiv:2511.10020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/icip42928.2021.9506795"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120371"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/wacv56688.2023.00264"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/wacv56688.2023.00262"},{"key":"ref39","first-page":"84866","article-title":"PointAD: Comprehending 3D anomalies from points and pixels for zero-shot 3D anomaly detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhou"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00836"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00249"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.02025"},{"key":"ref43","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"139","author":"Radford"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01760"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.01069"},{"key":"ref46","first-page":"16664","article-title":"AdaptFormer: Adapting vision transformers for scalable visual recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Chen"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19827-4_41"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00918"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52729.2023.01832"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20086-1_35"}],"container-title":["IEEE Transactions on Systems, Man, and Cybernetics: Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221021\/11406735\/11320859.pdf?arnumber=11320859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T07:31:00Z","timestamp":1771918260000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11320859\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":51,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tsmc.2025.3648581","relation":{},"ISSN":["2168-2216","2168-2232"],"issn-type":[{"value":"2168-2216","type":"print"},{"value":"2168-2232","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}