Machine learning system, domain conversion device, and machine learning method
US11281942B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 9, 2019 |
| Grant date | Mar 22, 2022 |
| Priority date | — |
| Expiry date | Jul 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning system includes a first determination model that determines whether an input image is a second domain image, and a second determination model that determines whether an extracted image obtained by extracting an area where an object is presented from the input image is from the second domain image. Either a pseudo second domain image or the second domain image is selected and input into the first determination model, and either a first extracted image in the pseudo second domain image or a second extracted image in the second domain image is selected and input into an image extracting unit. Learning of the first determination model is performed based on a first determination result, learning of the second determination model is performed based on a second determination result, and learning of a pseudo image generative model is performed based on the first and second determination results.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.