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:
Feb. 10, 2026

Filed:

Aug. 22, 2022
Applicant:

Nvidia Corporation, Santa Clara, CA (US);

Inventors:

Xiaojian MA, Los Angeles, CA (US);

Weili Nie, Sunnyvale, CA (US);

Zhiding Yu, Santa Clara, CA (US);

Huaizu Jiang, Amherst, MA (US);

Chaowei Xiao, Seattle, WA (US);

Yuke Zhu, Austin, TX (US);

Anima Anandkumar, Pasadena, CA (US);

Assignee:

NVIDIA CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 16/55 (2019.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 16/55 (2019.01); G06N 3/04 (2013.01);
Abstract

A vision transformer (ViT) is a deep learning model that performs one or more vision processing tasks. ViTs may be modified to include a global task that clusters images with the same concept together to produce semantically consistent relational representations, as well as a local task that guides the ViT to discover object-centric semantic correspondence across images. A database of concepts and associated features may be created and used to train the global and local tasks, which may then enable the ViT to perform visual relational reasoning faster, without supervision, and outside of a synthetic domain.


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