Instance-level image retrieval with a region proposal network
US10678846B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 10, 2017 |
| Grant date | Jun 9, 2020 |
| Priority date | — |
| Expiry date | Jan 30, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In a method for detecting an object in an input image, an input image vector representing the input image is generated by performing a regional maximum activations of convolutions (R-MAC) using a convolutional neural network (CNN) applied to the input image and using regions for the R-MAC defined by applying a region proposal network (RPN) to the output of the CNN applied to the input image. Likewise, a reference image vector representing a reference image depicting the object is generated by performing the R-MAC using the CNN applied to the reference image and using regions for the R MAC defined by applying the RPN to the output of the CNN applied to the reference image. A similarity metric between the input image vector and the reference image vector is computed, and the object is detected as present in the input image if the similarity metric satisfies a detection criterion.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.