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Article
Volume: 34 | Article ID: IPAS-191
Class specific biased extrapolation of images in latent space for imbalanced image classification
Suhyeon Jeong
Kyung Hee University, Republic of Korea
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Find this author on PubMed Seungkyu Lee
Kyung Hee University, Republic of Korea
DOI : 10.2352/EI.2022.34.10.IPAS-191 Published Online : January 2022
Abstract
In this work, we study the effectiveness of prior re-sampling approaches for imbalanced image classification. We propose to investigate inter-class and within-class characteristics and conduct class specific extrapolation re-sampling for optimal imbalanced learning.
Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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Cite this article
Suhyeon Jeong, Seungkyu Lee, "Class specific biased extrapolation of images in latent space for imbalanced image classification" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems, 2022, pp 191-1 - 191-5, https://doi.org/10.2352/EI.2022.34.10.IPAS-191
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