Semantic class localization digital environment
US11507800B2 · kind B2 · utility
2Cited by
1References
20Claims
0Family size
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Key dates
| Filing date | Mar 6, 2018 |
| Grant date | Nov 22, 2022 |
| Priority date | — |
| Expiry date | Aug 7, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Semantic segmentation techniques and systems are described that overcome the challenges of limited availability of training data to describe the potentially millions of tags that may be used to describe semantic classes in digital images. In one example, the techniques are configured to train neural networks to leverage different types of training datasets using sequential neural networks and use of vector representations to represent the different semantic classes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.