ALEXANDRIA, Va., June 19 -- United States Patent no. 12,333,439, issued on June 17, was assigned to VERITONE INC. (Denver).
"De-centralised learning for re-indentification" was invented by Shaogang Gong (London) and Guile Wu (London).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method for generating an optimised domain-generalisable model for re-identification of a target in a set of candidate images. The method optimises a local feature embedding model for domain-specific feature representation at each client of a plurality of clients, then receives, at a central server, information on changes to the local feature embedding model at each respective client resulting from the optimising step, and then upda...