Alleviating Long-Tailed Image Classification via Dynamical Classwise Splitting
With the rapid increase in data scale, real-world datasets tend to exhibit long-tailed class distributions (i.e., a few classes account for most of the data, while most classes contain only a few data points). General solutions typically exploit class rebalancing strategies involving resampling and...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/11/13/2996 |