Feature extraction system, method and apparatus based on neural network optimization by gradient filtering
US12260660B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 25, 2021 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | Jan 25, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/287
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.