Data Augmentation in Training CNNs: Injecting Noise to Images

ICLR 2020 Anonymous

Noise injection is a fundamental tool for data augmentation, and yet there is no widely accepted procedure to incorporate it with learning frameworks. This study analyzes the effects of adding or applying different noise models of varying magnitudes to Convolutional Neural Network (CNN) architectures... (read more)

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