Segmentation using an unsupervised neural network training technique
US11748887B2 · kind B2 · utility
1Cited by
11References
40Claims
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Key dates
| Filing date | Apr 8, 2019 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | Mar 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods to detect one or more segments of one or more objects within one or more images based, at least in part, on a neural network trained in an unsupervised manner to infer the one or more segments. Systems and methods to help train one or more neural networks to detect one or more segments of one or more objects within one or more images in an unsupervised manner.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.