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. 08, 2022

Filed:

Jul. 29, 2020
Applicant:

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

Inventors:

Xing Sun, Shenzhen, CN;

Yi Zhang, Shenzhen, CN;

Xinyang Jiang, Shenzhen, CN;

Xiaowei Guo, Shenzhen, CN;

Xuan Zhou, Shenzhen, CN;

Jia Chang, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/34 (2006.01); G06K 9/46 (2006.01); G06K 9/54 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); G06T 3/40 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/628 (2013.01); G06K 9/346 (2013.01); G06K 9/46 (2013.01); G06K 9/54 (2013.01); G06K 9/629 (2013.01); G06K 9/6256 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06T 3/40 (2013.01); G06T 5/007 (2013.01); G06K 2209/05 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30004 (2013.01);
Abstract

This application provides an image recognition method, a storage medium, and a computer device. The method includes: obtaining a to-be-recognized image; preprocessing the to-be-recognized image, to obtain a preprocessed image; obtaining, through a first submodel in a machine learning model, a first image feature corresponding to the to-be-recognized image, and obtaining, through a second submodel in the machine learning model, a second image feature corresponding to the preprocessed image; and determining, according to the first image feature and the second image feature, a first probability that the to-be-recognized image belongs to a classification category corresponding to the machine learning model. It may be seen that, the solutions provided by this application can improve recognition efficiency and accuracy.


Find Patent Forward Citations

Loading…