#fréchet_inception_distance
Fréchet inception distance
Metric used to assess image quality
The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN). Unlike the earlier inception score (IS), which evaluates only the distribution of generated images, the FID compares the distribution of generated images with the distribution of a set of real images. The FID metric does not completely replace the IS metric. Classifiers that achieve the best (lowest) FID score tend to have greater sample variety while classifiers achieving the best (highest) IS score tend to have better quality within individual images.
Mon 9th
Provided by Wikipedia
This keyword could refer to multiple things. Here are some suggestions: