{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T08:23:02Z","timestamp":1746260582569,"version":"3.37.3"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T00:00:00Z","timestamp":1625443200000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,5]]},"DOI":"10.1109\/icme51207.2021.9428391","type":"proceedings-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T21:14:21Z","timestamp":1623273261000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Dual Prototype Relaxation for Generalized Zero Shot Learning"],"prefix":"10.1109","author":[{"given":"Jie","family":"Zhang","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology,School of Computer Science and Engineering,China"}]},{"given":"Haofeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology,School of Computer Science and Engineering,China"}]},{"given":"Bingzhang","family":"Hu","sequence":"additional","affiliation":[{"name":"Hefei CAS Dihuge Automation Co., LTD.,Vision Intelligence Center"}]}],"member":"263","reference":[{"key":"ref10","first-page":"7434","article-title":"Co-representation network for generalized zero-shot learning","author":"zhang","year":"2019","journal-title":"ICML"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2857768"},{"key":"ref12","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"NIPS"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58577-8_5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01288"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3293318"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/361573.361582"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.140"},{"key":"ref19","article-title":"The caltech-ucsd birds-200-2011 dataset","author":"wah","year":"2011","journal-title":"Tech Rep"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/421"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2869696"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00986"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.321"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_4"},{"key":"ref5","first-page":"123","article-title":"A general transductive regularizer for zero-shot learning","author":"mao","year":"2019","journal-title":"BMVC"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_34"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01194"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.111"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.08.023"},{"key":"ref1","first-page":"3174","article-title":"Semantic autoencoder for zero-shot learning","author":"kodirov","year":"2017","journal-title":"CVPR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0695-z"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00311"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2968213"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00581"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00994"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3000347"}],"event":{"name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","start":{"date-parts":[[2021,7,5]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,9]]}},"container-title":["2021 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9428049\/9428068\/09428391.pdf?arnumber=9428391","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T18:27:38Z","timestamp":1682965658000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9428391\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,5]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icme51207.2021.9428391","relation":{},"subject":[],"published":{"date-parts":[[2021,7,5]]}}}