Abstract: Image classification in datasets with a lot of variation is hard because of differences within classes and similarities between classes, which can lead to wrong classifications and less ...

Abstract: Generative Adversarial Networks (GANs) encounter several challenges such as the generation of unrealistic images, the production of synthetic images with limited diversity, and the risk of ...