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:
Sep. 05, 2023

Filed:

Oct. 30, 2020
Applicant:

Goertek Inc., Shandong, CN;

Inventors:

Shunran Di, Shandong, CN;

Yifan Zhang, Shandong, CN;

Jie Liu, Shandong, CN;

Jifeng Tian, Shandong, CN;

Assignee:

GOERTEK INC., Shandong, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/764 (2022.01); G06V 10/771 (2022.01); G06V 10/82 (2022.01); G06V 10/776 (2022.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06V 10/764 (2022.01); G06N 3/08 (2013.01); G06V 10/771 (2022.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01);
Abstract

The present disclosure discloses a method and device for optimizing an object-class model based on a neural network. The method includes: establishing the object-class model based on the neural network, training the object-class model, and realizing classification of target images by using the object-class model that has been trained; and when a new target image is generated, and the new target image is an image corresponding to a new condition of a target and is capable of still being classified into an original classification system, judging a result of identification of the object-class model to the new target image, and if the object-class model is not capable of correctly classifying the new target image, according to the new target image, selecting some of parameters, adjusting the some of parameters, and training to obtain an object-class model that is capable of correctly classifying the new target image.


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