I'm quite new to GANs and I am trying to use a Wasserstein GAN as an augmentation technique. I found this article https://www.sciencedirect.com/science/article/pii/S2095809918301127, and would like to replicate their method of evaluating the GAN. The method is shown in the figure.
In the article they write that they extract the generated samples that fooled the discriminator and use these to train a classifier. They also say that they use a Wasserstein GAN. Does anyone know how it is possible to extract samples that fooled the discriminator, since for a Wasserstein GAN the critic (discriminator) only puts a rating and not a label on the generated data?