Few-shot training of a neural network
US11593661B2 · kind B2 · utility
0Cited by
0References
29Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2019 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | Mar 3, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network is trained to identify one or more features of an image. The neural network is trained using a small number of original images, from which a plurality of additional images are derived. The additional images generated by rotating and decoding embeddings of the image in a latent space generated by an autoencoder. The images generated by the rotation and decoding exhibit changes to a feature that is in proportion to the amount of rotation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.