Abstract: Various embodiments described herein provide for a neural network tailored, based on user-provided input data, to detect user-specified objects in image data. An architecture of an embodiment may use unlabeled data from the user, such as a set of images from a video camera stream, while parameters of a tailored neural network (CNN) are trained or adapted.
Type:
Grant
Filed:
August 29, 2017
Date of Patent:
August 17, 2021
Assignee:
Vintra, Inc.
Inventors:
Ariel Amato, Angel Domingo Sappa, Carlo Gatta, Brent Boekestein
Abstract: Various embodiments described herein provide for detection of a particular object within a scene depicted by image data by using a coarse-to-fine approach/strategy based on one or more relationships of objects depicted within the scene.