Optimization technique for forming DNN capable of performing real-time inference in mobile environment
US12423588B2 · kind B2 · utility
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13Claims
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Key dates
| Filing date | Dec 4, 2020 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Jan 16, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/778
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system includes at least one processor having a learning part for learning a deep neural network (DNN)-based style transfer model by using an image of a specific style to be learned, the style transfer model being a DNN model having an architecture in which the number of deep layers is reduced through transfer learning using a previously learned result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.