Extracting gradient features from neural networks
US9792492B2 · kind B2 · utility
21Cited by
1References
18Claims
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Key dates
| Filing date | Jul 7, 2015 |
| Grant date | Oct 17, 2017 |
| Priority date | — |
| Expiry date | Jan 25, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for extracting a representation from an image includes inputting an image to a pre-trained neural network. The gradient of a loss function is computed with respect to parameters of the neural network, for the image. A gradient representation is extracted for the image based on the computed gradients, which can be used, for example, for classification or retrieval.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.