ALEXANDRIA, Va., March 17 -- United States Patent no. 12,576,859, issued on March 17, was assigned to Zoox Inc. (Foster City, Calif.).
"Object classification with out-of-distribution detection" was invented by Till Sebastian Hartmann (Brookline, Mass.), Daniel Lu Jiang (Morgan Hill, Calif.) and Nicholas George Dilip Roy (Needham, Mass.).
According to the abstract* released by the U.S. Patent & Trademark Office: "An out-of-distribution (OOD) detector may be provided to efficiently identify OOD inputs to trained machine learning models, to prevent passing misleading predictions from the trained models to downstream systems. During training of a machine learning model including a deep neural network (e.g., an object detection and/or object c...