Patent ID: 11935243
Assignee: TOMTOM GLOBAL CONTENT B.V.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. A non-transitory computer readable storage medium storing instructions that, when executed by a computer processing system, cause the computer processing system to perform method of training a generative adversarial network for performing semantic segmentation of images, wherein the generative adversarial network comprises: a generator neural network; and a discriminator neural network comprising one or more layers before a classifier, the method comprising:
providing an image as input to the generator neural network;
receiving a predicted segmentation map for the image from the generator neural network;
providing: (i) the image, (ii) the predicted segmentation map, and (iii) ground-truth label data corresponding to the image, as distinct training inputs to the discriminator neural network;
determining a set of one or more outputs from the discriminator neural network in response to said training inputs, wherein the one or more outputs comprise one or more embedding outputs taken from at least one of the layers within the discriminator neural network; and
training the generator neural network using a loss function that is a function of said set of outputs from the discriminator neural network.