Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24436
Title: Attentive Feature Augmentation for Long-Tailed Visual Recognition
Authors: Wang, W
Zhao, Z
Wang, P
Su, F
Meng, H
Keywords: image classification;long-tailed distribution;data augmentation;data synthesizing
Issue Date: 22-Mar-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Wang, 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:
URI: https://bura.brunel.ac.uk/handle/2438/24436
DOI: https://doi.org/10.1109/tcsvt.2022.3161427
ISSN: 1051-8215
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 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.1.77 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.