Deep learning model to predict data from an image
US12223642B2 · kind B2 · utility
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Key dates
| Filing date | May 3, 2021 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Sep 10, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer program, and computer system is provided for predicting data from an image. An image is divided into one or more patch images. Spatial features corresponding to the one or more patch images are compressed. Output data corresponding to the compressed spatial features is predicted. The output data is predicted based on minimizing one or more loss functions corresponding to the compressed spatial features.
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