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:
Mar. 17, 2026

Filed:

Apr. 23, 2021
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventor:

Ze Qun Jie, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/088 (2023.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2023.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06N 3/088 (2013.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01); G06V 10/26 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01);
Abstract

A method for training an image classification model includes obtaining first prediction class annotation information of a first image by using an image classification network based on a first model parameter of an offset network being fixed; determining a second model parameter corresponding to the image classification network by using a classification loss function based on the image content class information and the first prediction class annotation information; obtaining second prediction class annotation information of the first image by using the offset network based on the second model parameter of the image classification network being fixed; determining a third model parameter corresponding to the offset network by using the classification loss function based on the image content class information and the second prediction class annotation information; and training a semantic image segmentation network model based on the second model parameter and the third model parameter.


Find Patent Forward Citations

Jie, Ze. (2026). Training semantic image segmentation model comprising deformable convolutional neural network (U.S. Patent No. 12579443). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12579443

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

Loading…