A survey on Image Data Augmentation for Deep Learning

@article{Shorten2019ASO,
  title={A survey on Image Data Augmentation for Deep Learning},
  author={Connor Shorten and Taghi M. Khoshgoftaar},
  journal={Journal of Big Data},
  year={2019},
  volume={6},
  pages={1-48}
}
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… CONTINUE READING

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