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

Claim 8:
9. A computer processing system implementing a generative adversarial network for performing semantic segmentation of images, wherein the generative adversarial network comprises: a generator neural network; a discriminator neural network comprising one or more layers before a classifier; and training logic, and wherein the training logic is configured to:
provide an image as input to the generator neural network;
receive a predicted segmentation map for the image from the generator neural network;
provide: (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;
determine 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
train the generator neural network using a loss function that is a function of said set of outputs from the discriminator neural network.