Generating refined object proposals using deep learning models
US11023772B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 1, 2019 |
| Grant date | Jun 1, 2021 |
| Priority date | — |
| Expiry date | Oct 1, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a feature map of an image having h×w pixels and a patch having one or more pixels of the image are received. The patch has been processed by a first set of layers of a convolutional neural network and contains an object centered within the patch. The patch is then processed using the feature map and one or more pixel classifiers of a classification layer of a deep-learning model, where the classification layer includes h×w pixel classifiers, with each pixel classifier corresponding to a respective pixel of the patch. Each of the pixel classifiers used to process the patch outputs a respective value indicating whether the corresponding pixel belongs to the object centered in the patch.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.