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20232025
most citedEntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification

1 citations · 3 across the 5 of their papers we have counts for

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cs.CV2024★ 1 cited

EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification

Suorong Yang, Furao Shen, Jian Zhao

Data augmentation (DA) has been widely used to improve the generalization of deep neural networks. While existing DA methods have proven effective, they often rely on augmentation…

cs.CV2024★ 1 cited

AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation

Suorong Yang, Peijia Li, Xin Xiong +2

Data augmentation (DA) is widely employed to improve the generalization performance of deep models. However, most existing DA methods employ augmentation operations with fixed or r…