Abstract: A neural network is trained to perform a re-identification task in which it is determined whether one or more features present in a first image appear also in a second image. During training, a generative portion of one or more neural networks generates variations of an input image, and a discriminative portion of the one or more neural networks learns to perform the re-identification task based at least in part on the variations of the image. During training, the generative and discriminative portions of the one or more neural networks share an encoder which encodes information used by the generative and discriminative portions.