{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T15:35:10Z","timestamp":1778686510274,"version":"3.51.4"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41876100"],"award-info":[{"award-number":["41876100"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research and Development Program of China","award":["2018YFC0310102"],"award-info":[{"award-number":["2018YFC0310102"]}]},{"name":"National Key Research and Development Program of China","award":["2017YFC0306002"],"award-info":[{"award-number":["2017YFC0306002"]}]},{"name":"State Key Program of National Natural Science Foundation of China","award":["61633004"],"award-info":[{"award-number":["61633004"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2925093","type":"journal-article","created":{"date-parts":[[2019,6,26]],"date-time":"2019-06-26T16:02:24Z","timestamp":1561564944000},"page":"87827-87836","source":"Crossref","is-referenced-by-count":12,"title":["Generalized Zero Shot Learning via Synthesis Pseudo Features"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4297-3447","authenticated-orcid":false,"given":"Chuanlong","family":"Li","sequence":"first","affiliation":[{"name":"College of Automation, Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiufen","family":"Ye","sequence":"additional","affiliation":[{"name":"College of Automation, Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haibo","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Automation, Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yatong","family":"Han","sequence":"additional","affiliation":[{"name":"College of Automation, Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Automation, Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunpeng","family":"Jia","sequence":"additional","affiliation":[{"name":"College of Automation, Harbin Engineering University, Harbin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2902640"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2884441"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.474"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.649"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2883537"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref35","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2737007"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0983-5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2914034"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.666"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.patcog.2018.03.006","article-title":"Zero-shot learning by generating pseudo feature representations","author":"lu","year":"2018","journal-title":"Proc Comput Vis Pattern Recognit"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.neucom.2018.10.069","article-title":"Class-specific synthesized dictionary model for zero-shot learning","volume":"329","author":"han","year":"2019","journal-title":"Neurocomputing"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2899987"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298911"},{"key":"ref16","first-page":"2121","article-title":"Devise: A deep visual-semantic embedding model","author":"frome","year":"2013","journal-title":"Proc Int Conf Neural Inform Process Syst (NIPS)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.321"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.473"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2869696"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2762295"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206594"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/345"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2911850"},{"key":"ref6","article-title":"A survey of zero-shot learning: Settings, methods, and applications","volume":"10","author":"wang","year":"2010","journal-title":"ACM Trans Intel Syst Technol"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2696747"},{"key":"ref5","first-page":"1410","article-title":"Zero-shot learning with semantic output codes","author":"palatucci","year":"2009","journal-title":"Proc Int Conf Neural Inform Process Syst (NIPS)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298879"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2857768"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912200"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.140"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2884697"},{"key":"ref46","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proc 14th Int Conf Artificial Intell"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.575"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00800"},{"key":"ref47","first-page":"19","article-title":"Zero-shot learning by convex combination of semantic embeddings","author":"norouzi","year":"2014","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref21","first-page":"2009","article-title":"Generalized zero-shot learning with deep calibration network","author":"liu","year":"2018","journal-title":"Proc Int Conf Neural Inform Process Syst (NIPS)"},{"key":"ref42","year":"2012","journal-title":"PyTorch"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00581"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126539"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_32"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.474"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00450"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247998"},{"key":"ref25","article-title":"Transfer feature generating networks with semantic classes structure for zero-shot learning","author":"lin","year":"2019","journal-title":"arXiv 1903 02204"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08746253.pdf?arnumber=8746253","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T20:38:36Z","timestamp":1773347916000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8746253\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2925093","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]}}}