US Patent Issued to Robert Bosch on Sept. 29 for "Exploiting hierarchical structure learning with hyperbolic distance to enhance open world object detection" (California Inventors)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,749,288, issued on Sept. 29, was assigned to Robert Bosch GmbH (Germany).

"Exploiting hierarchical structure learning with hyperbolic distance to enhance open world object detection" was invented by Thang Doan (San Francisco), Xin Li (Sunnyvale, Calif.), Sima Behpour (Sunnyvale, Calif.), Wenbin He (Sunnyvale, Calif.), Liang Gou (San Jose, Calif.) and Liu Ren (Saratoga, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of performing open world object detection includes receiving object data, that includes embeddings data corresponding to a plurality of embeddings for known objects in a first input image, projecting the embeddings into a hyp...