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:
May. 16, 2023

Filed:

Oct. 16, 2018
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Rahul Venkataramani, Bangalore, IN;

Rakesh Mullick, Bangalore, IN;

Sandeep Kaushik, Bangalore, IN;

Hariharan Ravishankar, Bangalore, IN;

Sai Hareesh Anamandra, Bangalore, IN;

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06N 20/00 (2019.01); G06F 16/583 (2019.01); G06F 16/51 (2019.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06F 16/51 (2019.01); G06F 16/5838 (2019.01); G06N 20/00 (2019.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01);
Abstract

A system is presented. The system includes an acquisition subsystem configured to obtain images corresponding to a target domain. Moreover, the system includes a processing subsystem in operative association with the acquisition subsystem and including a memory augmented domain adaptation platform configured to compute one or more features of an input image corresponding to a target domain, identify a set of support images based on the features of the input image, where the set of support images corresponds to the target domain, augment an input to a machine-learnt model with a set of features, a set of masks, or both corresponding to the set of support images to adapt the machine-learnt model to the target domain, and generate an output based at least on the set of features, the set of masks, or both. Additionally, the system includes an interface unit configured to present the output for analysis.


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