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:
Dec. 26, 2023

Filed:

Jul. 10, 2019
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Matthew Alun Brown, Seattle, WA (US);

Jonathan Chung-Kuan Huang, Seattle, WA (US);

Tal Remez, Tel-Aviv, IL;

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/194 (2017.01); G06T 7/11 (2017.01); G06T 11/20 (2006.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06N 3/084 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/045 (2023.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06T 11/20 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2210/12 (2013.01);
Abstract

Example aspects of the present disclosure are directed to systems and methods that enable weakly-supervised learning of instance segmentation by applying a cut-and-paste technique to training of a generator model included in a generative adversarial network. In particular, the present disclosure provides a weakly-supervised approach to object instance segmentation. In some implementations, starting with known or predicted object bounding boxes, a generator model can learn to generate object masks by playing a game of cut-and-paste in an adversarial learning setup.


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