Method for training neural network, system for training neural network, and neural network
US12136230B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Apr 11, 2022 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | May 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30252
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training a first neural network to detect the viewpoint of an object visible on an image and belonging to a given category of object when this image is inputted to the first neural network, including: providing a dataset of pairs of images under different viewpoints, providing a second neural network configured to be able to deliver appearance information of an object, providing a third neural network configured to be able to deliver a synthetic image of an object of the category using appearance information and a viewpoint, jointly training the first neural network, the second neural network, and the third neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.