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:
Aug. 05, 2025

Filed:

Nov. 14, 2022
Applicant:

Huawei Technologies Co., Ltd., Guangdong, CN;

Inventors:

Fuhui Tang, Shenzhen, CN;

Xiaopeng Zhang, Shanghai, CN;

Minzhe Niu, Shanghai, CN;

Zichen Wang, Shanghai, CN;

Jianhua Han, Shanghai, CN;

Qi Tian, Shenzhen, CN;

Assignee:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06V 10/30 (2022.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06V 10/30 (2022.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
Abstract

A model training method and a related apparatus are provided and may be used in computer vision to perform image detection. The method includes: extracting feature information from a target image; further separately extracting features of a target object from the feature information by using a Gaussian mask to obtain a first local feature and a second local feature; determining a feature loss by using the first local feature and the second local feature; performing prediction by using the first network and the second network based on a same region proposal set to obtain a first classification predicted value and a second classification predicted value, and obtaining a classification loss based on the first classification predicted value and the second classification predicted value; and training the second network based on the classification loss and the feature loss to obtain a target network.


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