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. 06, 2025

Filed:

Feb. 18, 2022
Applicant:

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

Inventors:

Seunghyun Yoon, San Jose, CA (US);

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

Franck Dernoncourt, San Jose, CA (US);

Hyounghun Kim, Chapel Hill, NC (US);

Doo Soon Kim, San Jose, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/86 (2021.12); G06F 40/284 (2019.12); G06N 3/044 (2022.12); G06N 3/088 (2022.12); G06V 10/77 (2021.12); G06V 10/80 (2021.12); G06V 10/82 (2021.12);
U.S. Cl.
CPC ...
G06V 10/86 (2021.12); G06F 40/284 (2019.12); G06N 3/044 (2022.12); G06N 3/088 (2012.12); G06V 10/7715 (2021.12); G06V 10/806 (2021.12); G06V 10/82 (2021.12);
Abstract

Embodiments of the disclosure provide a machine learning model for generating a predicted executable command for an image. The learning model includes an interface configured to obtain an utterance indicating a request associated with the image, an utterance sub-model, a visual sub-model, an attention network, and a selection gate. The machine learning model generates a segment of the predicted executable command from weighted probabilities of each candidate token in a predetermined vocabulary determined based on the visual features, the concept features, current command features, and the utterance features extracted from the utterance or the image.


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