{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T06:23:43Z","timestamp":1775888623846,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976047"],"award-info":[{"award-number":["61976047"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872061"],"award-info":[{"award-number":["61872061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61806039"],"award-info":[{"award-number":["61806039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science, and Technology Department of Sichuan Province of China","award":["2019YFG0122"],"award-info":[{"award-number":["2019YFG0122"]}]},{"name":"Science, and Technology Department of Sichuan Province of China","award":["2020YFG0087"],"award-info":[{"award-number":["2020YFG0087"]}]},{"name":"Science, and Technology Department of Sichuan Province of China","award":["2020YFG0080"],"award-info":[{"award-number":["2020YFG0080"]}]},{"name":"Science, and Technology Department of Sichuan Province of China","award":["2020YFG0326"],"award-info":[{"award-number":["2020YFG0326"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tmm.2021.3063616","type":"journal-article","created":{"date-parts":[[2021,3,5]],"date-time":"2021-03-05T20:35:38Z","timestamp":1614976538000},"page":"1325-1337","source":"Crossref","is-referenced-by-count":34,"title":["Alleviating Domain Shift via Discriminative Learning for Generalized Zero-Shot Learning"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5974-1717","authenticated-orcid":false,"given":"Yalan","family":"Ye","sequence":"first","affiliation":[{"name":"School of Computer Science, and Engineering, University of Electronic Science, and Technology of China, Chengdu, China"}]},{"given":"Yukun","family":"He","sequence":"additional","affiliation":[{"name":"School of Computer Science, and Engineering, University of Electronic Science, and Technology of China, Chengdu, China"}]},{"given":"Tongjie","family":"Pan","sequence":"additional","affiliation":[{"name":"School of Computer Science, and Engineering, University of Electronic Science, and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5504-2529","authenticated-orcid":false,"given":"Jingjing","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, and Engineering, University of Electronic Science, and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2999-2088","authenticated-orcid":false,"given":"Heng Tao","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science, and Engineering, University of Electronic Science, and Technology of China, Chengdu, China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Zero-shot learning by convex combination of semantic embeddings","author":"Norouzi","year":"2013"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.473"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00581"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2984091"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2857768"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2955157"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3050803"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2408354"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206594"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413503"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350901"},{"key":"ref13","first-page":"2672","article-title":"Generative adversarial nets","volume-title":"Proc. 27th Int. Conf. Neural Inf. Process. Syst.","author":"Goodfellow","year":"2014"},{"key":"ref14","first-page":"214","article-title":"Wasserstein generative adversarial networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Arjovsky","year":"2017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.575"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2924174"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2991050"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00111"},{"key":"ref21","first-page":"2121","article-title":"DeViSE: A deep visual-semantic embedding model","volume-title":"Proc. 26th Int. Conf. Neural Inf. Process. Syst.","volume":"2","author":"Frome","year":"2013"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2959433"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00779"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01052"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01194"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_21"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105796"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01268"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-50077-5_2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12251"},{"key":"ref31","article-title":"Auto-encoding variational Bayes","author":"Kingma","year":"2013"},{"key":"ref32","first-page":"6143","article-title":"Dual adversarial semantics-consistent network for generalized zero-shot learning","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Ni","year":"2019"},{"key":"ref33","article-title":"Domain segmentation and adjustment for generalized zero-shot learning","author":"Wang","year":"2020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","first-page":"5767","article-title":"Improved training of Wasserstein GANs","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Gulrajani","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2977457"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2019.2954747"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/9781118723203"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.13"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1207\/s15516709cog1502_3"},{"key":"ref42","article-title":"Oct. 26, 2011, The Caltech-Ucsd birds-200-2011 Dataset","author":"Wah"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICVGIP.2008.47"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247998"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00680"},{"issue":"2605","key":"ref46","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Laurens","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6046\/9687854\/09371418.pdf?arnumber=9371418","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:28:54Z","timestamp":1704842934000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9371418\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/tmm.2021.3063616","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}