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:
Jun. 10, 2025

Filed:

Dec. 02, 2021
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Akash Umakantha, Warren, MI (US);

S. Alireza Golestaneh, Pittsburgh, PA (US);

Joao Semedo, Pittsburgh, PA (US);

Wan-Yi Lin, Wexford, PA (US);

Assignee:

Robert Bosch GmbH, Stuttgart, DE;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 20/20 (2019.01); G06T 5/50 (2006.01); G06T 11/00 (2006.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G06N 20/20 (2019.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/20212 (2013.01);
Abstract

A computer-implemented system and method include performing neural style transfer augmentations using at least a content image, a first style image, and a second style image. A first augmented image is generated based at least on content of the content image and a first style of the first style image. A second augmented image is generated based at least on the content of the content image and a second style of the second style image. The machine learning system is trained with training data that includes at least the content image, the first augmented image, and the second augmented image. A loss output is computed for the machine learning system. The loss output includes at least a consistency loss that accounts for a predicted label provided by the machine learning system with respect to each of the content image, the first augmented image, and the second augmented image.


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