Computer vision systems and methods for machine learning using image hallucinations
US10902294B2 · kind B2 · utility
2Cited by
2References
18Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jan 23, 2019 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Feb 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer vision systems and methods for machine learning using image hallucinations are provided. The system generates image hallucinations that are subsequently used to train a deep neural network to match image patches. In this scenario, the synthesized changes serve in the learning of feature-embedding that captures how a patch of an image might look like from a different vantage point. In addition, a curricular learning framework is provided which is used to automatically train the neural network to progressively learn more invariant representations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.