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. 21, 2026

Filed:

Apr. 18, 2023
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Maximilian Menke, Diekholzen, DE;

Reiko Lettmoden, Braunschweig, DE;

Thomas Wenzel, Hamburg, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/75 (2022.01); G06V 20/40 (2022.01); G06V 20/58 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/751 (2022.01); G06V 20/49 (2022.01); G06V 20/58 (2022.01); G06V 2201/07 (2022.01); G06V 2201/12 (2022.01);
Abstract

A computer-implemented method for training a machine learning system for transferring images of a source domain into a target domain. The method includes: ascertaining source patches based on source images of a source domain and target patches based on target images of a target domain, the source patches and the target patches each being assigned pixel-by-pixel pieces of meta-information; ascertaining tuples, each including one source patch and at least one target patch which characterizes a neighbor of the source patch nearest to k according to a similarity measure, k being a hyperparameter of the method and the similarity measure characterizing a similarity between a source patch and a target patch based on the pixel-by-pixel meta-information of the source patch and of the target patch; training the machine learning system based on the source patches of the tuples and on the target patches of the tuples.


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