Self-paced Data Augmentation for Training Neural Networks

29 Oct 2020 Tomoumi Takase Ryo Karakida Hideki Asoh

Data augmentation is widely used for machine learning; however, an effective method to apply data augmentation has not been established even though it includes several factors that should be tuned carefully. One such factor is sample suitability, which involves selecting samples that are suitable for data augmentation... (read more)

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