Computer-implemented method of training convolutional neural network, convolutional neural network, computer-implemented method using convolutional neural network, apparatus for training convolutional neural network, and computer-program product
US11537849B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 22, 2019 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Oct 6, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20132
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method of training a convolutional neural network configured to morph content features of an input image with style features of a style image is provided. The computer-implemented method includes selecting a training style image; extracting style features of the training style image; selecting a training content image; extracting content features of the training content image; processing the training content image through the convolutional neural network to generate a training output image including the content features of the training content image morphed with the style features of the training style image; extracting content features and style features of the training output image; computing a total loss; and tuning the convolutional neural network based on the total loss including a content loss, a style loss, and a regularization loss.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.