{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:01:16Z","timestamp":1780635676823,"version":"3.54.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"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":["61771329"],"award-info":[{"award-number":["61771329"]}],"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":["61472273"],"award-info":[{"award-number":["61472273"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2019,10]]},"DOI":"10.1109\/tcyb.2018.2850750","type":"journal-article","created":{"date-parts":[[2018,7,16]],"date-time":"2018-07-16T22:09:06Z","timestamp":1531778946000},"page":"3755-3766","source":"Crossref","is-referenced-by-count":56,"title":["Zero-Shot Learning via Latent Space Encoding"],"prefix":"10.1109","volume":"49","author":[{"given":"Yunlong","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2197-3739","authenticated-orcid":false,"given":"Zhong","family":"Ji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jichang","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongfei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Stacked semantic-guided attention model for fine-grained zero-shot learning","author":"yu","year":"2018","journal-title":"arXiv preprint arXiv 1805 08113"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.217"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2751741"},{"key":"ref32","first-page":"2152","article-title":"An embarrassingly simple approach to zero-shot learning","author":"romera-paredes","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1027"},{"key":"ref30","first-page":"2121","article-title":"DeViSE: A deep visual-semantic embedding model","author":"frome","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_44"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.649"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.474"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.576"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126539"},{"key":"ref29","first-page":"646","article-title":"Zero-data learning of new tasks","author":"larochelle","year":"2008","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2508603"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2712798"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995543"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"ref21","first-page":"3111","article-title":"Distributed representations of words and phrases and their compositionality","author":"mikolov","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref24","first-page":"935","article-title":"Zero-shot learning through cross-modal transfer","author":"socher","year":"2013","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.321"},{"key":"ref26","first-page":"1","article-title":"Zero-shot learning by generating pseudo feature representations","author":"jiang","year":"2017","journal-title":"arXiv preprint arXiv 1703 06870"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23528-8_9"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2567393"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2694222"},{"key":"ref59","first-page":"1","article-title":"Bridging saliency detection to weakly supervised object detection based on self-paced curriculum learning","author":"zhang","year":"2017","journal-title":"arXiv preprint arXiv 1703 01281"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.567"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_75"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.725"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.434"},{"key":"ref54","article-title":"Two-stream multi-rate recurrent neural network for video-based pedestrian re-identification","author":"zeng","year":"0","journal-title":"IEEE Trans Ind Informat"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2755044"},{"key":"ref52","article-title":"Deep attention-based spatially recursive networks for fine-grained visual recognition","author":"lin","year":"0","journal-title":"IEEE Trans Cybern"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/TPAMI.2013.128","article-title":"Learning multimodal latent attributes","volume":"36","author":"fu","year":"2014","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2408354"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1137\/S0895479895281484"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2696747"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.10.025"},{"key":"ref14","first-page":"6165","article-title":"From zero-shot learning to conventional supervised classification: Unseen visual data synthesis","author":"yang","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298911"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.479"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-1132"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.140"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2016.2625419"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2822781"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref5","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2783902"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2749125"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_4"},{"key":"ref46","first-page":"2145","article-title":"Relational knowledge transfer for zero-shot learning","author":"wang","year":"2016","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.15"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2753852"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1027-5"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.473"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.575"},{"key":"ref44","first-page":"1","article-title":"Zero-shot learning by convex combination of semantic embeddings","author":"norouzi","year":"2014","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298879"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/8747513\/08411154.pdf?arnumber=8411154","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:52:07Z","timestamp":1657745527000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8411154\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":59,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2018.2850750","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10]]}}}