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.

Date of Patent:
Apr. 02, 2024

Filed:

Aug. 21, 2020
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Arash Vahdat, Santa Clara, CA (US);

Tanmay Gupta, Santa Clara, CA (US);

Xiaodong Yang, Santa Clara, CA (US);

Jan Kautz, Santa Clara, CA (US);

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06V 10/74 (2022.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01); G06V 30/262 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/2148 (2023.01); G06F 18/22 (2023.01); G06V 10/761 (2022.01); G06V 10/82 (2022.01); G06V 30/1916 (2022.01); G06V 30/19173 (2022.01); G06V 30/274 (2022.01);
Abstract

The disclosure provides a framework or system for learning visual representation using a large set of image/text pairs. The disclosure provides, for example, a method of visual representation learning, a joint representation learning system, and an artificial intelligence (AI) system that employs one or more of the trained models from the method or system. The AI system can be used, for example, in autonomous or semi-autonomous vehicles. In one example, the method of visual representation learning includes: (1) receiving a set of image embeddings from an image representation model and a set of text embeddings from a text representation model, and (2) training, employing mutual information, a critic function by learning relationships between the set of image embeddings and the set of text embeddings.


Find Patent Forward Citations

Loading…