Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24436
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dc.contributor.authorWang, W-
dc.contributor.authorZhao, Z-
dc.contributor.authorWang, P-
dc.contributor.authorSu, F-
dc.contributor.authorMeng, H-
dc.date.accessioned2022-04-12T08:44:57Z-
dc.date.available2022-04-12T08:44:57Z-
dc.date.issued2022-03-22-
dc.identifier.citationWang, W., Zhao, Z., Wang, P., Su, F. and Meng, H. (2022) 'Attentive Feature Augmentation for Long-Tailed Visual Recognition', IEEE Transactions on Circuits and Systems for Video Technology, 0 (in press), pp. 1 - 15. doi:en_US
dc.identifier.issn1051-8215-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24436-
dc.description.sponsorship10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62076033 and U1931202).en_US
dc.format.extent1 - 15 (15)-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectimage classificationen_US
dc.subjectlong-tailed distributionen_US
dc.subjectdata augmentationen_US
dc.subjectdata synthesizingen_US
dc.titleAttentive Feature Augmentation for Long-Tailed Visual Recognitionen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/tcsvt.2022.3161427-
dc.relation.isPartOfIEEE Transactions on Circuits and Systems for Video Technology-
pubs.publication-statusPublished-
pubs.volume0-
dc.identifier.eissn1558-2205-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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