Generative neural network distillation
US11727280B2 · kind B2 · utility
1Cited by
7References
20Claims
0Family size
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Key dates
| Filing date | Mar 2, 2021 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | May 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A compact generative neural network can be distilled from a teacher generative neural network using a training network. The compact network can be trained on the input data and output data of the teacher network. The training network train the student network using a discrimination layer and one or more types of losses, such as perception loss and adversarial loss.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.