System and method for a deep learning machine for object detection
US10380741B2 · kind B2 · utility
35Cited by
4References
18Claims
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Key dates
| Filing date | Apr 4, 2017 |
| Grant date | Aug 13, 2019 |
| Priority date | — |
| Expiry date | Sep 6, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Apparatuses and methods of manufacturing same, systems, and methods for object detection using a region-based deep learning model are described. In one aspect, a method is provided, in which a region proposal network (RPN) is used to identify regions of interest (RoI) in an image by assigning a confidence levels, the assigned confidence levels of the RoIs are used to boost the background score assigned by the downstream classifier to each RoI, and the background scores are used in a softmax function to calculate the final class probabilities for each object class.
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