[HTML][HTML] A survey on image data augmentation for deep learning
C Shorten, TM Khoshgoftaar - Journal of Big Data, 2019 - Springer
Deep convolutional neural networks have performed remarkably well on many Computer
Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting.
Overfitting refers to the phenomenon when a network learns a function with very high
variance such as to perfectly model the training data. Unfortunately, many application
domains do not have access to big data, such as medical image analysis. This survey
focuses on Data Augmentation, a data-space solution to the problem of limited data. Data …
Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting.
Overfitting refers to the phenomenon when a network learns a function with very high
variance such as to perfectly model the training data. Unfortunately, many application
domains do not have access to big data, such as medical image analysis. This survey
focuses on Data Augmentation, a data-space solution to the problem of limited data. Data …