Neural style transfer for image varietization and recognition
US11631186B2 · kind B2 · utility
1Cited by
1References
14Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 25, 2018 |
| Grant date | Apr 18, 2023 |
| Priority date | — |
| Expiry date | Aug 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/23
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for image recognition are provided. A style-transfer neural network is trained for each real image to obtain a trained style-transfer neural network. The texture or style features of the real images are transferred, via the trained style-transfer neural network, to a target image to generate styled images which are used for training an image-recognition machine learning model (e.g., a neural network). In some cases, the real images are clustered and representative style images are selected from the clusters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.