ALEXANDRIA, Va., Dec. 31 -- United States Patent no. 12,511,889, issued on Dec. 30, was assigned to TomTom Global Content B.V. (Amsterdam).
"Neural network models for semantic image segmentation" was invented by Mohsen Ghafoorian (Diemen, Netherlands), Klaus Michael Hofmann (Amsterdam) and Erik Stammes (Barcelona, Spain).
According to the abstract* released by the U.S. Patent & Trademark Office: "The invention relates to a method of training a model for use in semantic image segmentation. The model includes a first classifier neural network and a second classifier neural network. The method includes training the first network by inputting a first training image containing a target object to the first network, using the first network to id...