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. 16, 2024

Filed:

May. 02, 2019
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Zhe Lin, Fremont, CA (US);

Trung Huu Bui, San Jose, CA (US);

Scott Cohen, Sunnyvale, CA (US);

Mingyang Ling, Sunnyvale, CA (US);

Chenyun Wu, Amherst, MA (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 40/30 (2020.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 18/21 (2023.01); G06F 40/205 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 18/217 (2023.01); G06F 40/205 (2020.01);
Abstract

Techniques and systems are provided for training a machine learning model using different datasets to perform one or more tasks. The machine learning model can include a first sub-module configured to perform a first task and a second sub-module configured to perform a second task. The first sub-module can be selected for training using a first training dataset based on a format of the first training dataset. The first sub-module can then be trained using the first training dataset to perform the first task. The second sub-module can be selected for training using a second training dataset based on a format of the second training dataset. The second sub-module can then be trained using the second training dataset to perform the second task.


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