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.
Is This the SHOCKING Truth You Need to Know?
Presented at the applied data science for healthcare workshop, kdd 2021.
However, the most advanced semantic segmentation.
We compare performance to traditional augmentation.