Techniques for interactive image segmentation networks
US12112482B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 28, 2021 |
| Grant date | Oct 8, 2024 |
| Priority date | — |
| Expiry date | Jan 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments are generally directed to techniques for image segmentation utilizing context, such as with a machine learning (ML) model that injects context into various training stages. Many embodiments utilize one or more of an encoder-decoder model topology and select criteria and parameters in hyper-parameter optimization (HPO) to conduct the best model neural architecture search (NAS). Some embodiments are particularly directed to resizing context frames to a resolution that corresponds with a particular stage of decoding. In several embodiments, the context frames are concatenated with one or more of data from a previous decoding stage and data from a corresponding encoding stage prior to being provided as input to a next decoding stage.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.