Corpus ID: 202750227

Synthetic Data for Deep Learning

@article{Nikolenko2019SyntheticDF,
  title={Synthetic Data for Deep Learning},
  author={S. Nikolenko},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.11512}
}
  • S. Nikolenko
  • Published 2019
  • Mathematics, Computer Science
  • ArXiv
  • Synthetic data is an increasingly popular tool for training deep learning models, especially in computer vision but also in other areas. In this work, we attempt to provide a comprehensive survey of the various directions in the development and application of synthetic data. First, we discuss synthetic datasets for basic computer vision problems, both low-level (e.g., optical flow estimation) and high-level (e.g., semantic segmentation), synthetic environments and datasets for outdoor and urban… CONTINUE READING
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