This is the same idea that underlies style transfers and metrics like the FID (which is used to judge generative networks' outputs on their similarity to the te

This is the same idea that underlies style transfers and metrics like the FID (which is used to judge generative networks' outputs on their similarity to the test set). The idea is that the activations within an image recognition network are similar for images that are similar and so you can measure the distance between two images in a space that has some semantic meaning.