US Patent Issued to TOMTOM GLOBAL CONTENT on July 1 for "Neural network model for image segmentation" (Dutch Inventors)

ALEXANDRIA, Va., July 3 -- United States Patent no. 12,347,156, issued on July 1, was assigned to TOMTOM GLOBAL CONTENT B.V. (Amsterdam).

"Neural network model for image segmentation" was invented by Cedric Nugteren (Amsterdam), Elias Kassapis (Amsterdam) and Georgi Dikov (Amsterdam).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer processing system is configured to train a model for use in semantic image segmentation. The model comprises a refinement neural network, a discriminator neural network. The refinement neural network is configured to receive a predicted label distribution for an image, obtain one or more random values from a random or pseudo-random noise source, use the one or more random ...