Motion learning without labels
US11847786B2 · kind B2 · utility
0Cited by
0References
26Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | May 10, 2021 |
| Grant date | Dec 19, 2023 |
| Priority date | — |
| Expiry date | Feb 1, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning model is described that is trained without labels to predict a motion field between a pair of images. The trained model can be applied to a distinguished pair of images to predict a motion field between the distinguished pair of images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.