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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3050758
Abstract: Data augmentation is an effective way to increase the diversity of existing training datasets that result in improved generalization ability of convolutional neural networks (CNNs). The augmentation effect is usually global for the existing methods…
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Keywords:
augmentation;
local bias;
bias property;
data augmentation ... See more keywords