Utilizing object attribute detection models to automatically select instances of detected objects in images
US11107219B2 · kind B2 · utility
21Cited by
19References
20Claims
0Family size
Assignee
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Key dates
| Filing date | Jul 22, 2019 |
| Grant date | Aug 31, 2021 |
| Priority date | — |
| Expiry date | Sep 22, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/223
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to an object selection system that accurately detects and automatically selects user-requested objects (e.g., query objects) in a digital image. For example, the object selection system builds and utilizes an object selection pipeline to determine which object detection neural network to utilize to detect a query object based on analyzing the object class of the query object. In addition, the object selection system can add, update, or replace portions of the object selection pipeline to improve overall accuracy and efficiency of automatic object selection within an image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.