{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T13:19:30Z","timestamp":1782825570675,"version":"3.54.5"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"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":["61571459"],"award-info":[{"award-number":["61571459"]}],"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":["61631019"],"award-info":[{"award-number":["61631019"]}],"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":["61701526"],"award-info":[{"award-number":["61701526"]}],"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":[[2020,10]]},"DOI":"10.1109\/tcyb.2019.2933224","type":"journal-article","created":{"date-parts":[[2019,8,23]],"date-time":"2019-08-23T20:01:47Z","timestamp":1566590507000},"page":"4256-4267","source":"Crossref","is-referenced-by-count":57,"title":["Real-World ISAR Object Recognition Using Deep Multimodal Relation Learning"],"prefix":"10.1109","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7500-8128","authenticated-orcid":false,"given":"Bin","family":"Xue","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ningning","family":"Tong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2335751"},{"key":"ref32","first-page":"1","article-title":"Automatic recognition of ISAR images based on deep learning","author":"he","year":"2017","journal-title":"Proc CIE Int Conf of Radar"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref30","first-page":"1","article-title":"R-FCN: Object detection via region-based fully convolutional networks","author":"dai","year":"2016","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref35","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2825376"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2776321"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2879669"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2740460"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"2070","DOI":"10.1109\/TPAMI.2018.2852750","article-title":"Deep collaborative embedding for social image understanding","volume":"41","author":"zechao","year":"2019","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2755766"},{"key":"ref15","first-page":"1","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2016","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref16","first-page":"1","article-title":"A guide to convolution arithmetic for deep learning","author":"dumoulin","year":"2018","journal-title":"ArXiv"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0908-3"},{"key":"ref18","first-page":"1","article-title":"Object detection with mask-based feature encoding","author":"fan","year":"2018","journal-title":"ArXiv"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2732727"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2437384"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2893505"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2015.2453192"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2803300"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.144"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2017.2785560"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2767068"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2587642"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2017.2727507"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2896293"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2856821"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/293133a0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2456892"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.09.012"},{"key":"ref24","first-page":"1","article-title":"A two-stage feature selection for document categorization using information gain and maximal marginal relevance","author":"maulana","year":"2016","journal-title":"Proc Int Conf Comput Sci Eng Appl Sci"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2514489"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528821"},{"key":"ref25","first-page":"1","article-title":"On the reconstruction risk of convolutional sparse dictionary learning","author":"singh","year":"2018","journal-title":"Proc Int Conf Artif Intell Statist (AISTATS)"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221036\/9204774\/08811762.pdf?arnumber=8811762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:20:54Z","timestamp":1651080054000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8811762\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":35,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2019.2933224","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10]]}}}