These datasets often suffer from severe. Nevertheless, data augmentation techniques for training gans are underexplored compared to cnns. In this work, we propose a new gan architecture for augmentation of.
Presented at the applied data science for healthcare workshop, kdd 2021.
However, the most advanced semantic segmentation. We compare performance to traditional augmentation.
