{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T13:11:03Z","timestamp":1773407463567,"version":"3.50.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Natural Science Foundation of China (NSFC)\/Research Grants Council (RGC) of Hong Kong Joint Research Scheme","award":["62361166630"],"award-info":[{"award-number":["62361166630"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273323"],"award-info":[{"award-number":["62273323"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Science and Technology Development Fund, Macao, SAR","doi-asserted-by":"publisher","award":["0046\/2023\/RIA1"],"award-info":[{"award-number":["0046\/2023\/RIA1"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. Video Technol."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tcsvt.2024.3504542","type":"journal-article","created":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T19:13:26Z","timestamp":1732302806000},"page":"3438-3449","source":"Crossref","is-referenced-by-count":1,"title":["Cross Dense Feature Learning With Task Guidance for Few-Shot Classification"],"prefix":"10.1109","volume":"35","author":[{"given":"Qi","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Computer and Information Science, University of Macau, Macau, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0184-5446","authenticated-orcid":false,"given":"Long","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science, University of Macau, Macau, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3256-3268","authenticated-orcid":false,"given":"Wanfeng","family":"Shang","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2887408"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2020.2967071"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01816"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref5","first-page":"65441","article-title":"Meta-AdaM: An meta-learned adaptive optimizer with momentum for few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Sun"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3083257"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20077-9_4"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093476"},{"key":"ref9","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Finn"},{"key":"ref10","article-title":"Meta-learning with latent embedding optimization","author":"Rusu","year":"2018","journal-title":"arXiv:1807.05960"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00049"},{"key":"ref12","first-page":"1","article-title":"Optimization as a model for few-shot learning","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Ravi"},{"key":"ref13","first-page":"3825","article-title":"LGM-Net: Learning to generate matching networks for few-shot learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01199"},{"key":"ref15","first-page":"3637","article-title":"Matching networks for one shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Vinyals"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295163"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3047675"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2995754"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3132912"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/sym11091066"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2024.3432152"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00743"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00792"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3217373"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-022-3700-8"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00366"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3274168"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00948"},{"key":"ref30","first-page":"3582","article-title":"Rethinking generalization in few-shot classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"35","author":"Hiller"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3050918"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2928540"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3222871"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3057086"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3049959"},{"key":"ref36","first-page":"4003","article-title":"Cross attention network for few-shot classification","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Hou"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00870"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20044-1_1"},{"key":"ref39","first-page":"56681","article-title":"One meta-tuned transformer is what you need for few-shot learning","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","volume":"235","author":"Yang"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref41","article-title":"Meta-learning for semi-supervised few-shot classification","author":"Ren","year":"2018","journal-title":"arXiv:1803.00676"},{"key":"ref42","article-title":"Meta-learning with differentiable closed-form solvers","author":"Bertinetto","year":"2018","journal-title":"arXiv:1805.08136"},{"key":"ref43","first-page":"719","article-title":"TADAM: Task dependent adaptive metric for improved few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Oreshkin"},{"key":"ref44","article-title":"Caltech-UCSD birds 200","author":"Welinder","year":"2010"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00419"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_26"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00883"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00893"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_35"},{"key":"ref51","first-page":"21981","article-title":"CrossTransformers: Spatially-aware few-shot transfer","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Doersch"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1503.02531"}],"container-title":["IEEE Transactions on Circuits and Systems for Video Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/76\/10949577\/10764797.pdf?arnumber=10764797","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T22:13:21Z","timestamp":1744064001000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10764797\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":52,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcsvt.2024.3504542","relation":{},"ISSN":["1051-8215","1558-2205"],"issn-type":[{"value":"1051-8215","type":"print"},{"value":"1558-2205","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}