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:
Jul. 14, 2026

Filed:

Dec. 04, 2023
Applicant:

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

Inventors:

Yuan Wang, Nanjing, CN;

Ao Li, Shanghai, CN;

Yan Shen, Singapore, SG;

Raghotham Sripadraj, Bengaluru, IN;

Zhibai Wang, Shanghai, CN;

Ruobai Wang, Shanghai, CN;

Jingwen Xu, Shanghai, CN;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 30/413 (2022.01); G06N 3/0455 (2023.01); G06N 3/084 (2023.01); G06V 30/19 (2022.01); G06V 30/416 (2022.01); G06V 30/418 (2022.01); G06V 30/414 (2022.01);
U.S. Cl.
CPC ...
G06V 30/413 (2022.01); G06N 3/0455 (2023.01); G06N 3/084 (2013.01); G06V 30/19093 (2022.01); G06V 30/1918 (2022.01); G06V 30/416 (2022.01); G06V 30/418 (2022.01); G06V 30/414 (2022.01);
Abstract

Methods and systems are presented for classifying a digital image of a document using a machine learning model framework. The machine learning model framework is configured to provide a classification output based on a fusion of features corresponding to different modalities and extracted from the digital image. The machine learning model framework includes multiple encoders. Each encoder is configured to encode features corresponding to a distinct modality into a respective embedding. Different embeddings generated by the multiple encoders are fused together using one or more fusion techniques. The fused embedding is provided to a machine learning model for classifying the document.


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