Training method and apparatus for image region segmentation model, and image region segmentation method and apparatus
US12260623B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2022 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | May 2, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of this application disclose a method and apparatus for training an image region segmentation model, and an image region segmentation method and apparatus. The method includes acquiring a sample image set, and each image of the sample image set having first annotation information; generating graph structure data corresponding to a sample image in the sample image set, the graph structure data comprising multiple nodes, and each node comprising at least one pixel in the sample image; determining second annotation information of each node according to the graph structure data and the first annotation information corresponding to the sample image by using a graph convolutional network model, a granularity of the second annotation information being smaller than a granularity of the first annotation information, the graph convolutional network model being a part of an image segmentation model; and training the image segmentation model according to the second annotation information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.