Computer vision image feature identification via multi-label few-shot model
US11238275B2 · kind B2 · utility
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Key dates
| Filing date | Nov 8, 2019 |
| Grant date | Feb 1, 2022 |
| Priority date | — |
| Expiry date | Jul 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/414
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A technique making use of a few-shot model to determine graphical features present in an image based on a small set of examples with known graphical features. Where a support set including a number of images that each have a known combination of graphical features, the image recognition can identify unknown combinations of those graphical features in any number of query images. In an embodiment of the present disclosure examples of a filled-out form are used to interpret any number of additional filled out versions of the form.
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