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 ...
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