{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T07:49:40Z","timestamp":1781250580907,"version":"3.54.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10888834","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T13:52:43Z","timestamp":1741787563000},"page":"1-5","source":"Crossref","is-referenced-by-count":8,"title":["KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration"],"prefix":"10.1109","author":[{"given":"Chengyuan","family":"Li","sequence":"first","affiliation":[{"name":"Southeast University,College of Software Engineering,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suyang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Southeast University,College of Software Engineering,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jieping","family":"Kong","sequence":"additional","affiliation":[{"name":"Southeast University,College of Software Engineering,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Qi","sequence":"additional","affiliation":[{"name":"Southeast University,School of Computer Science and Engineering,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Xue","sequence":"additional","affiliation":[{"name":"Southeast University,School of Computer Science and Engineering,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01392"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102930"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01081"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01878"},{"key":"ref5","article-title":"Anomalyclip: Object-agnostic prompt learning for zero-shot anomaly detection","author":"Zhou","year":"2023"},{"key":"ref6","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford"},{"key":"ref7","article-title":"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","author":"Chen","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00653"},{"key":"ref10","article-title":"Clip surgery for better explainability with enhancement in open-vocabulary tasks","author":"Li","year":"2023"},{"key":"ref11","article-title":"Cross attention network for few-shot classification","volume":"32","author":"Hou","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00475"},{"key":"ref13","article-title":"Depth-wise separable convolutions for neural machine translation","author":"Kaiser","year":"2017"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.45"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00982"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20056-4_23"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICUMT54235.2021.9631567"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISIE45552.2021.9576231"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01476-x"},{"key":"ref21","article-title":"Weakly supervised learning for industrial optical inspection","volume-title":"DAGM Symposium in","volume":"6","author":"Wieler"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01466"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102680"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.05.002"},{"issue":"9","key":"ref25","first-page":"54","article-title":"Deep feature extraction with cubic-svm for classification brain tumor","volume":"52","author":"BOURENNANE","year":"2023","journal-title":"Rare Metal Materials and Engineering"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104319"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10888834.pdf?arnumber=10888834","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:22:46Z","timestamp":1774416166000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10888834\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10888834","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}