The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 28, 2026
Filed:
Jul. 06, 2023
Applicant:
Nvidia Corporation, Santa Clara, CA (US);
Inventor:
Michael Ranzinger, Boulder, CO (US);
Assignee:
NVIDIA Corporation, Santa Clara, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06N 3/0455 (2023.01); G06N 3/084 (2023.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06N 3/0455 (2023.01); G06N 3/084 (2013.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01);
Abstract
Apparatuses, systems, and techniques to train one or more neural networks using unannotated images. In at least one embodiment, the one or more neural networks are trained based, at least in part, on one or more loss functions calculated using a randomly selected patch pair on a same image and a spatial relationship between two patches within the randomly selected patch pair on the same image.
Ranzinger, Michael. (2026). Neural network based vision systems (U.S. Patent No. 12614380). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12614380
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile