Method for object detection using hierarchical deep learning
US11367189B2 · kind B2 · utility
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Key dates
| Filing date | Oct 16, 2020 |
| Grant date | Jun 21, 2022 |
| Priority date | — |
| Expiry date | Nov 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hierarchical deep-learning object detection framework provides a method for identifying objects of interest in high-resolution, high pixel count images, wherein the objects of interest comprise a relatively a small pixel count when compared to the overall image. The method uses first deep-learning model to analyze the high pixel count images, in whole or as a patchwork, at a lower resolution to identify objects, and a second deep-learning model to analyze the objects at a higher resolution to classify the objects.
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