Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes
Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes
Generative Adversarial Networks (GANs) have shown promise in augmenting datasets and boosting convolutional neural network (CNN) performance on image classification tasks. But they introduce more hyperparameters to tune as well as the need for additional time and computational power to train, supplementary to the CNN. In this work, we examine …