Synthetic Data for Deep Learning
356 Citations•2021•
Sergey Nikolenko
The synthetic-to-real domain adaptation problem that inevitably arises in applications of synthetic data is discussed, including synthetic- to-real refinement with GAN-based models and domain adaptation at the feature/model level without explicit data transformations.
Abstract
This first book about synthetic data highlights an important field in deep learning which is rapidly rising in popularity throughout machine learning.