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:
Feb. 20, 2024

Filed:

May. 13, 2021
Applicant:

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

Inventors:

Zheng Ge, Shenzhen, CN;

Ze Qun Jie, Shenzhen, CN;

Hao Wang, Shenzhen, CN;

Zhi Feng Li, Shenzhen, CN;

Di Hong Gong, Shenzhen, CN;

Wei Liu, Shenzhen, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06K 9/00 (2022.01); G06V 40/16 (2022.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06N 3/088 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06V 40/172 (2022.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01);
Abstract

The disclosure provides an image recognition network model training method, including: acquiring a first image feature corresponding to an image set; acquiring a first identity prediction result by using an identity classifier, and acquiring a first pose prediction result by using a pose classifier; obtaining an identity classifier according to the first identity prediction result and an identity tag, and obtaining a pose classifier according to the first pose prediction result and a pose tag; performing pose transformation on the first image feature by using a generator, to obtain a second image feature corresponding to the image set; acquiring a second identity prediction result by using the identity classifier, and acquiring a second pose prediction result by using the pose classifier; and training the generator.


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