{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T15:55:18Z","timestamp":1787500518121,"version":"build-2736575974"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"MSIT\/IITP","award":["2020-0-01821"],"award-info":[{"award-number":["2020-0-01821"]}]},{"name":"MSIT\/IITP","award":["RS-2019-II190421"],"award-info":[{"award-number":["RS-2019-II190421"]}]},{"name":"MSIT\/IITP","award":["RS-2024-00459618"],"award-info":[{"award-number":["RS-2024-00459618"]}]},{"name":"MSIT\/IITP","award":["RS-2024-00360227"],"award-info":[{"award-number":["RS-2024-00360227"]}]},{"name":"MSIT\/IITP","award":["RS-2024-00437102"],"award-info":[{"award-number":["RS-2024-00437102"]}]},{"name":"MSIT\/IITP","award":["RS-2024-00437633"],"award-info":[{"award-number":["RS-2024-00437633"]}]},{"name":"MSIT\/NRF","award":["RS-2024-00357729"],"award-info":[{"award-number":["RS-2024-00357729"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tpami.2024.3504537","type":"journal-article","created":{"date-parts":[[2024,11,21]],"date-time":"2024-11-21T14:10:14Z","timestamp":1732198214000},"page":"1448-1463","source":"Crossref","is-referenced-by-count":10,"title":["Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification"],"prefix":"10.1109","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-1470-1160","authenticated-orcid":false,"given":"SuBeen","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence, Sungkyunkwan University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2805-0926","authenticated-orcid":false,"given":"WonJun","family":"Moon","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Sungkyunkwan University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7952-2017","authenticated-orcid":false,"given":"Hyun Seok","family":"Seong","sequence":"additional","affiliation":[{"name":"Department of Artificial Intelligence, Sungkyunkwan University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9684-7641","authenticated-orcid":false,"given":"Jae-Pil","family":"Heo","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering and Department of Artificial Intelligence, Sungkyunkwan University, Seoul, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging8070179"},{"key":"ref3","article-title":"A closer look at few-shot classification","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Chen"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00893"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00670"},{"key":"ref7","first-page":"21981","article-title":"Crosstransformers: Spatially-aware few-shot transfer","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Doersch"},{"key":"ref8","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dosovitskiy"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01544"},{"key":"ref10","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00315"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00891"},{"key":"ref14","first-page":"3582","article-title":"Rethinking generalization in few-shot classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hiller"},{"key":"ref15","article-title":"Cross attention network for few-shot classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hou"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-7138-7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00870"},{"key":"ref20","article-title":"Novel dataset for fine-grained image categorization: Stanford dogs","volume-title":"Proc. CVPR Workshop Fine-Grained Vis. Categorization","author":"Khosla"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00645"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00526"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01259"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00728"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_29"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00009"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.17021"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00743"},{"key":"ref31","article-title":"A structured self-attentive sentence embedding","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lin"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_26"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6822"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19800-7_43"},{"key":"ref36","article-title":"Fine-grained visual classification of aircraft","author":"Maji","year":"2013"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093338"},{"key":"ref38","article-title":"Diversity networks","volume-title":"Proc. 4th Int. Conf. Learn. Representations","author":"Mariet"},{"key":"ref39","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-35289-8","volume-title":"Neural Networks: Tricks of the Trade","author":"Montavon","year":"2012"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25284"},{"key":"ref41","first-page":"8789","article-title":"TADAM: Task dependent adaptive metric for improved few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Oreshkin"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248092"},{"key":"ref43","first-page":"9472","article-title":"Stand-alone self-attention in vision models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ramachandran"},{"key":"ref44","article-title":"Optimization as a model for few-shot learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ravi"},{"key":"ref45","article-title":"Meta-learning for semi-supervised few-shot classification","volume-title":"Proc. 6th Int. Conf. Learn. Representations","author":"Ren"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0238302"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00250"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01872"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00762"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00419"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00914"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref55","first-page":"3630","article-title":"Matching networks for one shot learning","author":"Vinyals","year":"2016","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref56","article-title":"The caltech-UCSD birds-200\u20132011 dataset","author":"Wah","year":"2011"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01328"},{"key":"ref58","article-title":"Simpleshot: Revisiting nearest-neighbor classification for few-shot learning","author":"Wang","year":"2019"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00672"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00792"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00781"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00514"},{"issue":"3","key":"ref64","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s41664-018-0068-2","volume":"2","author":"Xu","year":"2018","journal-title":"J. Anal. Testing"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00883"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00375"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01222"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00515"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/10873290\/10763467.pdf?arnumber=10763467","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T01:04:26Z","timestamp":1738803866000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10763467\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":68,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2024.3504537","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}