ALEXANDRIA, Va., Dec. 2 -- United States Patent no. 12,488,570, issued on Dec. 2, was assigned to Industrial Technology Research Institute (Hsinchu, Taiwan).
"Object detection method for detecting one or more objects using a plurality of deep convolution neural network layers and object detection apparatus using the same method and non-transitory storage medium thereof" was invented by Peter Chondro (Surabaya, Indonesia).
According to the abstract* released by the U.S. Patent & Trademark Office: "According to an exemplary embodiment, the disclosure provides an object detection method includes not limited to obtaining a set of a plurality of object annotated images in a source domain and have a first image style; obtaining a minority set o...