Learning method and processing apparatus regarding machine learning model classifying input image
US12236667B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 24, 2022 |
| Grant date | Feb 25, 2025 |
| Priority date | — |
| Expiry date | Jul 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method by one or more computers for learning a machine learning model classifying an input image into known classes and an unknown class by extracting a feature of the input image. The method comprises acquiring a set of features of a plurality of samples of training data each of which is with a label, calculating a loss function based on the set of the features, and learning the machine learning model to reduce the loss function. The loss function is calculated to include a first loss function and a second loss function. The first loss function is configured to become larger as first distances become smaller than a predetermined margin. The second loss function is configured to become larger as second distances become larger and as third distances become smaller.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.