Image recognition method, apparatus, server, and storage medium
US10803359B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2019 |
| Grant date | Oct 13, 2020 |
| Priority date | — |
| Expiry date | May 24, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, processing circuitry obtains a shallow hash neural network (SHNN) model that has been trained from a HNN model and based on a set of SHNN training images that aggregates image recognition results from at least two reference hash neural network (HNN) models. Further, the processing circuitry performs an image recognition on the image according to the SHNN model, to obtain an image class vector in an image class space. The image class vector includes probability values of respective image classes in the image class space. A probability value of an image class in the image class space is a combination of intermediate probability values of the image class that are resulted from the at least two reference HNN models. Further, the processing circuitry determines one of the image classes for the image according to the probability values of the respective image classes in the image class space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.