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:
Oct. 03, 2023

Filed:

Aug. 10, 2021
Applicant:

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

Inventors:

Pranav Vineet Aggarwal, San Jose, CA (US);

Zhe Lin, Fremont, CA (US);

Baldo Antonio Faieta, San Francisco, CA (US);

Saeid Motiian, San Francisco, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06K 9/72 (2006.01); G06F 16/535 (2019.01); G06N 20/00 (2019.01); G06V 30/262 (2022.01); G06F 18/40 (2023.01); G06F 18/214 (2023.01); G06V 30/19 (2022.01); G06V 10/82 (2022.01); G06V 10/94 (2022.01); G06F 3/0482 (2013.01);
U.S. Cl.
CPC ...
G06F 16/535 (2019.01); G06F 18/2148 (2023.01); G06F 18/40 (2023.01); G06N 20/00 (2019.01); G06V 10/82 (2022.01); G06V 10/945 (2022.01); G06V 30/1916 (2022.01); G06V 30/19147 (2022.01); G06V 30/19173 (2022.01); G06V 30/274 (2022.01); G06F 3/0482 (2013.01);
Abstract

Text-to-visual machine learning embedding techniques are described that overcome the challenges of conventional techniques in a variety of ways. These techniques include use of query-based training data which may expand availability and types of training data usable to train a model. Generation of negative digital image samples is also described that may increase accuracy in training the model using machine learning. A loss function is also described that also supports increased accuracy and computational efficiency by losses separately, e.g., between positive or negative sample embeddings a text embedding.


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