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:
Nov. 07, 2023

Filed:

Sep. 02, 2020
Applicant:

Canon Kabushiki Kaisha, Tokyo, JP;

Inventors:

Yaohai Huang, Beijing, CN;

Xingyi Huang, Beijing, CN;

Yan Li, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/02 (2006.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06V 10/764 (2022.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/217 (2023.01); G06F 18/22 (2023.01); G06N 3/02 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 40/10 (2022.01); G06V 40/16 (2022.01); G06V 40/168 (2022.01); G06V 40/172 (2022.01); G06V 40/178 (2022.01);
Abstract

The present disclosure includes a method, apparatus and system for generating a neural network and a non-transitory computer readable storage medium storing instructions. The method comprises: recognizing at least an attribute of an object in a sample image according to a feature extracted from the sample image, using the neural network; determining a loss function value at least according to a margin value determined based on a semantic relationship between attributes, wherein the semantic relationship is obtained from a predefined table at least according to a real attribute and the recognized attribute of the object, wherein the predefined table is composed of the attributes and the semantic relationship between the attributes; updating a parameter in the neural network according to the determined loss function value. When using the neural network generated according the present disclosure, the accuracy of object attribute recognition can be improved.


Find Patent Forward Citations

Loading…