Method for training image classification model and apparatus for executing the same
US11823480B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2021 |
| Grant date | Nov 21, 2023 |
| Priority date | — |
| Expiry date | Jun 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/772
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training an image classification model according to an embodiment includes training a feature extractor and a rotation angle classifier to predict a rotation angle of each of unlabeled first training images, training the image classification model to predict a label and rotation angle of each of labeled second training images, but predict a uniform label even though an actual rotation angle of each of the second training images is changed, generating a pseudo label based on a training image that satisfy a preset condition among unlabeled candidate images, and training the image classification model to predict a rotation angle of each of the third training images, and predict a label of each of the third training images based on the pseudo label, but predict a uniform label even though an actual rotation angle of each of the third training images is changed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.