Method and apparatus for training image model, and method and apparatus for category prediction
US10878284B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 12, 2019 |
| Grant date | Dec 29, 2020 |
| Priority date | — |
| Expiry date | Jun 24, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The method for training an image model, in each round of training performed with respect to each sample image: inputs an image obtained by cropping the sample image by an object extraction component obtained through a previous round of training, as a scale-adjusted sample image, into the image model, wherein the object extraction component is used for extracting concerned objects in sample images at respective scales; inputs a feature of the scale-adjusted sample image into a local classifier in the image model respectively, performs category prediction with respect to feature points in the feature, so as to obtain a local prediction result, and updates the object extraction component based on the local prediction result; performs object level category prediction for the scale-adjusted sample image based on the feature and the updated object extraction component; and trains the image model based on a category prediction result of the scale-adjusted sample image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.