Meta few-shot class incremental learning
US11983240B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2021 |
| Grant date | May 14, 2024 |
| Priority date | — |
| Expiry date | Nov 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/95
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure provides for methods and system for meta few-shot class incremental learning. According to an aspect a method is provided. The method includes obtaining at least one weight attention map of a first network and updating weights of a second network using the at least one weight attention map, where the second network is a modulatory network. The method further includes generating at least one feature attention map of the second network based on the at least one weight attention map of the first network and a set of input images of at least one class. The method further includes generating at least one feature map of the first network based on the set of input images of the at least one class, and updating the at least one feature map of the first network based on the feature attention map of the second network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.