ALEXANDRIA, Va., June 10 -- United States Patent no. 12,293,278, issued on May 6, was assigned to Beijing Jiaotong University (Beijing).

"Semantic segmentation network model uncertainty quantification method based on evidence inference" was invented by Rui Wang (Beijing), Ci Liang (Gothenburg, Sweden), Wei Zheng (Beijing) and Yumei Zhang (Beijing).

According to the abstract* released by the U.S. Patent & Trademark Office: "A semantic segmentation network model uncertainty quantification method based on evidence inference. The method comprises the steps of constructing an FCN network model, and training the FCN network model by using a training data set to obtain a trained FCN network model for semantic segmentation of image data; transpla...