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. 14, 2022

Filed:

Apr. 05, 2021
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Konstantinos Bousmalis, London, GB;

Nathan Silberman, Brooklyn, NY (US);

Dilip Krishnan, Arlington, MA (US);

George Trigeorgis, Nicosia, CY;

Dumitru Erhan, San Francisco, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06V 10/44 (2022.01); G06K 9/62 (2022.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
G06V 10/449 (2022.01); G06K 9/6232 (2013.01); G06K 9/6268 (2013.01); G06K 9/6298 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06T 7/74 (2017.01); G06V 10/451 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing images using an image processing neural network system. One of the system includes a shared encoder neural network implemented by one or more computers, wherein the shared encoder neural network is configured to: receive an input image from a target domain; and process the input image to generate a shared feature representation of features of the input image that are shared between images from the target domain and images from a source domain different from the target domain; and a classifier neural network implemented by the one or more computers, wherein the classifier neural network is configured to: receive the shared feature representation; and process the shared feature representation to generate a network output for the input image that characterizes the input image.


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