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:
Jun. 30, 2026

Filed:

Jul. 30, 2024
Applicants:

Hon Hai Precision Industry Co., Ltd., New Taipei City, TW;

Foxconn Technology Group Co., Ltd., Guangdong Province, CN;

Inventors:

Yung-Hui Li, New Taipei City, TW;

Van Nhiem Tran, New Taipei City, TW;

Chi-En Huang, New Taipei City, TW;

Shen-Hsuan Liu, New Taipei City, TW;

Muhammad Saqlain Aslam, New Taipei City, TW;

Kai-Lin Yang, New Taipei City, TW;

Assignees:

HON HAI PRECISION INDUSTRY CO., LTD., New Taipei cITY, TW;

Foxconn Technology Group Co., Ltd., Guangdong Province, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2026.01); G06V 10/774 (2022.01);
U.S. Cl.
CPC ...
G06T 11/00 (2013.01); G06T 2210/22 (2013.01); G06V 10/774 (2022.01);
Abstract

A machine learning method includes: processing a first global image and a first local image by a first augmentation pipeline to generate a first augmentation global image and a first augmentation local image; processing the first global image by a second augmentation pipeline to generate a second augmentation global image; processing the first augmentation global image to generate a first global representation vector; processing the second augmentation global image and the first augmentation local image to generate a second global representation vector and a first local representation vector; comparing the first and second global representation vectors to generate a global loss function; comparing the first global representation vector and the first local representation vector to generate a mixed loss function; and adjusting the second encoder according to the global loss function and the mixed loss function.


Find Patent Forward Citations

Li, Yung-Hui. (2026). Machine learning method (U.S. Patent No. 12670635). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12670635

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Loading…