{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:05:23Z","timestamp":1780589123277,"version":"3.54.1"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61674120"],"award-info":[{"award-number":["61674120"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1709218"],"award-info":[{"award-number":["U1709218"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672131"],"award-info":[{"award-number":["61672131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YF70202800"],"award-info":[{"award-number":["2018YF70202800"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"publisher","award":["JPMJAX190D"],"award-info":[{"award-number":["JPMJAX190D"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]},{"name":"JST Moonshot R&D Program","award":["JPMJMS2011"],"award-info":[{"award-number":["JPMJMS2011"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1109\/tnnls.2021.3112768","type":"journal-article","created":{"date-parts":[[2021,10,5]],"date-time":"2021-10-05T03:59:06Z","timestamp":1633406346000},"page":"3488-3500","source":"Crossref","is-referenced-by-count":26,"title":["Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9372-0618","authenticated-orcid":false,"given":"Kunran","family":"Xu","sequence":"first","affiliation":[{"name":"School of Microelectronics, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8458-6429","authenticated-orcid":false,"given":"Rui","family":"Lai","sequence":"additional","affiliation":[{"name":"School of Microelectronics, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7419-6240","authenticated-orcid":false,"given":"Lin","family":"Gu","sequence":"additional","affiliation":[{"name":"RIKEN Center for Advanced Intelligence Project, Tokyo, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yishi","family":"Li","sequence":"additional","affiliation":[{"name":"School of Microelectronics, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00575"},{"key":"ref12","first-page":"1","article-title":"Mixup: Beyond empirical risk minimization","author":"zhang","year":"2018","journal-title":"Proc 6th Int Conf Learn Represent"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013714"},{"key":"ref52","first-page":"1","article-title":"Fully convolutional attention networks for fine-grained recognition","volume":"abs 1603 6765","author":"liu","year":"2016","journal-title":"CoRR"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2892802"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01176-2"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_49"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00436"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_26"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00255"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref50","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.145"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00144"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00232"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10599-4_29"},{"key":"ref41","article-title":"Novel dataset for fine-grained image categorization","author":"khosla","year":"2011","journal-title":"Proc 1st Workshop Fine-Grained Vis Categorization IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref44","first-page":"1","article-title":"MXNet: A flexible and efficient machine learning library for heterogeneous distributed systems","volume":"abs 1512 1274","author":"chen","year":"2015","journal-title":"CoRR"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_37"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00515"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2018.2834480"},{"key":"ref9","article-title":"P-CNN: Part-based convolutional neural networks for fine-grained visual categorization","author":"han","year":"2020","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.476"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00914"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.557"},{"key":"ref40","article-title":"The Caltech-UCSD Birds-200-2011 dataset","author":"wah","year":"2011"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00409"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.754"},{"key":"ref37","first-page":"1","article-title":"Improved knowledge distillation via teacher assistant","volume":"abs 1902 3393","author":"mirzadeh","year":"2019","journal-title":"CoRR"},{"key":"ref36","first-page":"7528","article-title":"Knowledge distillation by on-the-fly native ensemble","volume":"31","author":"lan","year":"2018","journal-title":"Proc Annu Conf Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.117"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.743"},{"key":"ref33","first-page":"1","article-title":"FitNets: Hints for thin deep nets","author":"romero","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent"},{"key":"ref32","first-page":"1","article-title":"Distilling the knowledge in a neural network","volume":"abs 1503 2531","author":"hinton","year":"2015","journal-title":"CoRR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00377"},{"key":"ref39","first-page":"1","article-title":"Network in network","volume":"abs 1312 4400","author":"lin","year":"2013","journal-title":"CoRR"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.206"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2852721"},{"key":"ref26","first-page":"1","article-title":"Bird species categorization using pose normalized deep convolutional nets","volume":"abs 1406","author":"branson","year":"2014","journal-title":"CoRR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.47"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.127"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.10.002"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.215"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.41"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10175014\/09557788.pdf?arnumber=9557788","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,31]],"date-time":"2023-07-31T17:36:51Z","timestamp":1690825011000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9557788\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7]]},"references-count":52,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3112768","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7]]}}}