US Patent Issued to The Johns Hopkins University on Sept. 15 for "Systems, methods, and computer programs for using a network of machine learning models to detect an image depicting an object of interest which can be partially occluded by another object" (Maryland Inventors)

ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,738,026, issued on Sept. 15, was assigned to The Johns Hopkins University (Baltimore).

"Systems, methods, and computer programs for using a network of machine learning models to detect an image depicting an object of interest which can be partially occluded by another object" was invented by Alan Yuille (Baltimore) and Adam Kortylewski (Baltimore).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and apparatus, including computer programs encoded on computer-storage media, used for object detection in an input image that can include at least partial object occlusion. In some implementations, input data representing the image depicting an ...