ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,919, issued on April 14, was assigned to QUALCOMM Inc. (San Diego).
"Generative data augmentation with task loss guided fine-tuning" was invented by Davide Abati (Amsterdam), Amirhossein Habibian (Amsterdam), Auke Joris Wiggers (Amsterdam) and Jens Petersen (Amsterdam).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method includes generating a synthetic dataset with a generative model. The method also includes tuning the generative model based on feedback from a task network that receives the synthetic dataset as input. The task network may perform image recognition. The synthetic dataset may be generated based on a set of classes and labels of th...