Image classification with modality dropout
US12361679B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 12, 2022 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | Jan 19, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19147
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided for classifying images associated with an item, and generating an image set for that item which includes image classifications determined to be helpful for the item type of the item. To classify images, an image classification model is generated and trained using two phases. The first phase uses intermediate model with text and visual processing to teach the model to recognize patterns created by text without requiring OCR at inference. The second phase uses visual processing to refine the model for use at inference. To generate an image set, image classifications helpful to an item type are identified, items are associated with item types, images are obtained for an item, the images are classified using the image classification model, missing image classifications set out in the preferred image set are identified, and a request or requests is generated for the missing image classifications.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.