ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,462,525, issued on Nov. 4, was assigned to The Toronto-Dominion Bank (Toronto).
"Co-learning object and relationship detection with density aware loss" was invented by Maksims Volkovs (Toronto), Cheng Chang (Toronto), Guangwei Yu (Toronto), Himanshu Rai (Toronto) and Yichao Lu (Toronto).
According to the abstract* released by the U.S. Patent & Trademark Office: "An object detection model and relationship prediction model are jointly trained with parameters that may be updated through a joint backbone. The offset detection model predicts object locations based on keypoint detection, such as a heatmap local peak, enabling disambiguation of objects. The relationship prediction model may ...