Multi-stage image recognition for a non-ideal environment
US11037029B2 · kind B2 · utility
5Cited by
4References
13Claims
0Family size
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Key dates
| Filing date | Oct 11, 2018 |
| Grant date | Jun 15, 2021 |
| Priority date | — |
| Expiry date | Dec 19, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/68
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Provided are an apparatus and a method of multi-stage image recognition. For the multi-stage image recognition, categorized object data is received from a first deep neural network. A second deep neural network is trained on subcategory customization data that relates to a non-ideal environment when the second deep neural network produces invalid subcategorized object data from the categorized object data, and generates an image recognition result using the second deep neural network as trained.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.