Image classification method, electronic device, and storage medium
US10325181B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Sep 13, 2017 |
| Grant date | Jun 18, 2019 |
| Priority date | — |
| Expiry date | Jan 2, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An image classification method is provided. The method includes: inputting a to-be-classified image into a plurality of neural network models; obtaining data output by multiple non-input layers specified by each neural network model to generate a plurality of image features corresponding to the plurality of neural network models; respectively inputting the plurality of corresponding image features into linear classifiers, each of the linear classifiers being trained by one of the plurality of neural network models for determining whether an image belongs to a preset class; obtaining, using each neural network model, a corresponding probability that the to-be-classified image comprises an object image of the preset class; and determining, according to each obtained probability, whether the to-be-classified image includes the object image of the preset class.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.