Multimodal image classifier using textual and visual embeddings
US11907337B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2019 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Nov 18, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/82
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for realizing a multimodal image classifier. In an aspect, a method includes, for each image of a plurality of images: processing the image by a textual generator model to obtain a set of phrases that are descriptive of the content of the image, wherein each phrase is one or more terms, processing the set of phrases by a textual embedding model to obtain an embedding of predicted text for the image, and processing the image using an image embedding model to obtain an embedding of image pixels of the image. Then a multimodal image classifier is trained on the embeddings of predicted text for the images and the embeddings of image pixels for the images to produce, as output, labels of an output taxonomy to classify an image based on the image as input.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.