Utilizing deep neural networks to automatically select instances of detected objects in images
US12020414B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 15, 2022 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Aug 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2210/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to an object selection system that accurately detects and automatically selects target instances of user-requested objects (e.g., a query object instance) in a digital image. In one or more embodiments, the object selection system can analyze one or more user inputs to determine an optimal object attribute detection model from multiple specialized and generalized object attribute models. Additionally, the object selection system can utilize the selected object attribute model to detect and select one or more target instances of a query object in an image, where the image includes multiple instances of the query object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.