US Patent Issued to Adobe on April 14 for "Machine-learning models for distractor segmentation with reduced user interactions" (Maryland, Illinois, Washington, California Inventors)

ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,790, issued on April 14, was assigned to Adobe Inc. (San Jose, Calif.).

"Machine-learning models for distractor segmentation with reduced user interactions" was invented by Yuqian Zhou (Urbana, Ill.), Chuong Huynh (Hyattsville, Md.), Connelly Barnes (Seattle), Elya Shechtman (Seattle), Sohrab Amirghodsi (Seattle) and Zhe Lin (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing machine learning to generate a mask for an object portrayed in a digital image. For example, in some embodiments, the disclosed systems utilize a neural net...