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. 01, 2025

Filed:

Mar. 29, 2023
Applicant:

Beijing Baidu Netcom Science Technology Co., Ltd., Beijing, CN;

Inventors:

Yipeng Sun, Beijing, CN;

Mengjun Cheng, Beijing, CN;

Longchao Wang, Beijing, CN;

Xiongwei Zhu, Beijing, CN;

Kun Yao, Beijing, CN;

Junyu Han, Beijing, CN;

Jingtuo Liu, Beijing, CN;

Errui Ding, Beijing, CN;

Jingdong Wang, Beijing, CN;

Haifeng Wang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/42 (2022.01); G06F 16/332 (2025.01); G06F 16/532 (2019.01); G06F 16/583 (2019.01); G06F 18/25 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06V 10/42 (2022.01); G06F 16/332 (2019.01); G06F 16/532 (2019.01); G06F 16/5846 (2019.01); G06F 18/253 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06V 10/774 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01); G06F 40/30 (2020.01);
Abstract

A pre-training method for a Vision and Scene Text Aggregation model includes: acquiring a sample image-text pair; extracting a sample scene text from a sample image; inputting a sample text into a text encoding network to obtain a sample text feature; inputting the sample image and an initial sample aggregation feature into a visual encoding subnetwork and inputting the initial sample aggregation feature and the sample scene text into a scene encoding subnetwork to obtain a global image feature of the sample image and a learned sample aggregation feature; and pre-training the Vision and Scene Text Aggregation model according to the sample text feature, the global image feature of the sample image, and the learned sample aggregation feature.


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