ALEXANDRIA, Va., April 21 -- United States Patent no. 12,608,919, issued on April 21, was assigned to GDM Holding LLC (Mountain View, Calif.).

"Semi-supervised keypoint based models" was invented by Mel Vecerik (London), Jonathan Karl Scholz (London) and Jean-Baptiste Regli (London).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for training a neural network to predict keypoints of unseen objects using a training data set including labeled and unlabeled training data is described. The method comprising: receiving the training data set comprising a plurality of training samples, each training sample comprising a set of synchronized images of one or more objects from a respective scene, wherein each im...