Learning apparatus, system for generating captured image classification apparatus, apparatus for generating captured image classification apparatus, learning method, and program
US11308367B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 26, 2018 |
| Grant date | Apr 19, 2022 |
| Priority date | — |
| Expiry date | Mar 13, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A classification learning section executes training of a feature quantity extraction section and training of a classification section resulting from a comparison between an output generated when feature quantity data is inputted to the classification section and training data regarding a plurality of classes associated with a source domain training image. A dividing section divides feature quantity data outputted from the feature quantity extraction section in accordance with input of an image into a plurality of pieces of partial feature quantity data corresponding to the image including a feature map of one or more of the classes. A domain identification learning section executes training of the feature quantity extraction section resulting from a comparison between an output generated when partial feature quantity data corresponding to the image is inputted to a domain identification section and data indicating whether the image belongs to a source domain or to the target domain.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.