Classifying images utilizing generative-discriminative feature representations
US11709915B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2020 |
| Grant date | Jul 25, 2023 |
| Priority date | — |
| Expiry date | Jun 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, non-transitory computer-readable media, and methods for classifying an input image utilizing a classification model conditioned by a generative model and/or self-supervision. For example, the disclosed systems can utilize a generative model to generate a reconstructed image from an input image to be classified. In turn, the disclosed systems can combine the reconstructed image with the input image itself. Using the combination of the input image and the reconstructed image, the disclosed systems utilize a classification model to determine a classification for the input image. Furthermore, the disclosed systems can employ self-supervised learning to cause the classification model to learn discriminative features for better classifying images of both known classes and open-set categories.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.