ALEXANDRIA, Va., Feb. 11 -- United States Patent no. 12,548,307, issued on Feb. 10, was assigned to Deere & Co. (Moline, Ill.).

"Object detection with cross-domain mixing" was invented by Minh Thanh Vu (San Francisco), Baochen Sun (Bellevue, Wash.), Bodi Yuan (Sunnyvale, Calif.), Alexander Ngai (Irvine, Calif.) and Yueqi Li (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Implementations are described herein for improving unsupervised domain adaptation (UDA) by using improved adaptive teacher for object detection with cross-domain mix-up. In various implementations, cross-domain training of an object detection machine learning model may include: performing weak augmentation on images from a t...