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. 25, 2025

Filed:

Aug. 25, 2021
Applicant:

Institute of Automation, Chinese Academy of Sciences, Beijing, CN;

Inventors:

Yang Chen, Beijing, CN;

Guanxiong Zeng, Beijing, CN;

Shan Yu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06F 18/21 (2023.01); G06N 3/044 (2023.01); G06V 10/764 (2022.01); G06V 30/19 (2022.01); G06V 30/28 (2022.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G06V 30/293 (2022.01); G06F 18/217 (2023.01); G06N 3/044 (2023.01); G06N 3/084 (2013.01); G06V 10/764 (2022.01); G06V 30/1916 (2022.01); G10L 15/063 (2013.01); G06V 30/287 (2022.01);
Abstract

A feature extraction system, method and apparatus based on neural network optimization by gradient filtering is provided. The feature extraction method includes: acquiring, by an information acquisition device, input information; constructing, by a feature extraction device, different feature extraction networks, performing iterative training on the networks in combination with corresponding training task queues to obtain optimized feature extraction networks for different input information, and calling a corresponding optimized feature extraction network to perform feature extraction according to a class of the input information; performing, by an online updating device, online updating of the networks; and outputting, by a feature output device, a feature of the input information. The new feature extraction system, method and apparatus avoids the problem of catastrophic forgetting of the artificial neural network in continuous tasks, and achieves high accuracy and precision in continuous feature extraction.


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