While using the feature matching loss GAN on another datasets, I verify that the feature matching loss achieves very small values, yet the discriminator can still distinguish between real and fake images for the big majority of cases. Is this expected? Is this a problem? Is it a desired effect?
While using the feature matching loss GAN on another datasets, I verify that the feature matching loss achieves very small values, yet the discriminator can still distinguish between real and fake images for the big majority of cases. Is this expected? Is this a problem? Is it a desired effect?