The data imbalance problem is a frequent bottleneck in the classification performance of neural networks. In this paper, we propose novel supervised discriminative feature generation (DFG) method for minority class dataset. DFG based on modified structure generative adversarial network consisting four independent networks: generator, discriminator, extractor, and classifier. To augment selected...