{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T07:14:27Z","timestamp":1774595667021,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"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":["62025601"],"award-info":[{"award-number":["62025601"]}],"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":["61772353"],"award-info":[{"award-number":["61772353"]}],"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":["62006164"],"award-info":[{"award-number":["62006164"]}],"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":["2018AAA0100201"],"award-info":[{"award-number":["2018AAA0100201"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1109\/tnnls.2021.3051721","type":"journal-article","created":{"date-parts":[[2021,1,28]],"date-time":"2021-01-28T20:46:12Z","timestamp":1611866772000},"page":"3320-3330","source":"Crossref","is-referenced-by-count":52,"title":["Deep Attention-Based Imbalanced Image Classification"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5920-787X","authenticated-orcid":false,"given":"Lituan","family":"Wang","sequence":"first","affiliation":[{"name":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9702-6738","authenticated-orcid":false,"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China"}]},{"given":"Xiaofeng","family":"Qi","sequence":"additional","affiliation":[{"name":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5867-9322","authenticated-orcid":false,"given":"Zhang","family":"Yi","sequence":"additional","affiliation":[{"name":"Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, China"}]}],"member":"263","reference":[{"issue":"3","key":"ref1","first-page":"5","article-title":"Show, attend and tell: Neural image caption generation with visual attention","volume":"2","author":"Xu","year":"2015","journal-title":"arXiv:1502.03044"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2017.2705345"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2018.07.011"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2019.2900506"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-038"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2732482"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0192-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/eap.2043"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/11538059_91"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.222"},{"key":"ref14","article-title":"kNN approach to unbalanced data distributions: A case study involving information extraction","volume-title":"Proc. Workshop Learn. Imbalanced Datasets","volume":"126","author":"Mani"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1089827.1089836"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.17"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2006.158"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2019.04.024"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727769"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727770"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2018.2827029"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2832629"},{"key":"ref26","article-title":"The impact of imbalanced training data for convolutional neural networks","author":"Masko","year":"2015"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR.2018.00027"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.12.043"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2007853"},{"key":"ref30","first-page":"445","article-title":"Cost-sensitive learning with neural networks","volume-title":"Proc. Eur. Conf. Artif. Intell.","author":"Kukar"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24834-9_6"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.369"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2875406"},{"key":"ref34","first-page":"2204","article-title":"Recurrent models of visual attention","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Mnih"},{"key":"ref35","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jaderberg"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46182-3_13"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.580"},{"key":"ref39","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Simonyan"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref41","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref42","article-title":"MXNet: A flexible and efficient machine learning library for heterogeneous distributed systems","author":"Chen","year":"2015","journal-title":"arXiv:1512.01274"},{"key":"ref43","article-title":"ADADELTA: An adaptive learning rate method","author":"Zeiler","year":"2012","journal-title":"arXiv:1212.5701"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s13398-014-0173-7.2"},{"key":"ref45","article-title":"Learning to diagnose from scratch by exploiting dependencies among labels","author":"Yao","year":"2017","journal-title":"arXiv:1710.10501"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/9849214\/09339998.pdf?arnumber=9339998","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:23:39Z","timestamp":1704846219000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9339998\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":45,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3051721","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}