Convolutional neural network for object detection
US11100352B2 · kind B2 · utility
5Cited by
5References
20Claims
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Key dates
| Filing date | Sep 19, 2019 |
| Grant date | Aug 24, 2021 |
| Priority date | — |
| Expiry date | Oct 7, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed is a computer-readable medium including a program code that, when executed by processing circuitry, causes the processing circuitry to generate a feature map from an input image, to extract a region of interest from the feature map, and to generate a predicted mask based on the region of interest. The processing circuitry may use a predicted mask and a real mask to learn a convolutional neural network system. The real mask includes first pixels corresponding to the real boundary and second pixels corresponding to a fake boundary adjacent to the real boundary.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.