Transferring Synthetic Elementary Learning Tasks to Classification of Complex Targets

Abstract

Deep learning has a promising impact on target classification performance at the expense of huge training data requirements. Therefore, the use of simulated data is inevitable for convergence of deep models (DMs). However, generating synthetic data for re