Image segmentation method and system using GAN architecture
US12086712B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 27, 2021 |
| Grant date | Sep 10, 2024 |
| Priority date | — |
| Expiry date | Dec 2, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30181
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There are provided a method and a system for image segmentation utilizing a GAN architecture. A method for training an image segmentation network according to an embodiment includes: inputting an image to a first network which is trained to output a region segmentation result regarding an input image, and generating a region segmentation result; and inputting the region segmentation result generated at the generation step and a ground truth (GT) to a second network, and acquiring a discrimination result, the second network being trained to discriminate inputted region segmentation results as a result generated by the first network and a GT, respectively; and training the first network and the second network by using the discrimination result. Accordingly, region segmentation performance of a semantic segmentation network regarding various images can be enhanced, and a very small image region can be exactly segmented.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.