Point to set similarity comparison and deep feature learning for visual recognition
US10755082B2 · kind B2 · utility
2Cited by
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20Claims
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Key dates
| Filing date | Oct 24, 2017 |
| Grant date | Aug 25, 2020 |
| Priority date | — |
| Expiry date | Feb 7, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/23
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A visual recognition system to process images includes a global sub-network including a convolutional layer and a first max pooling layer. A local sub-network is connected to receive data from the global sub-network, and includes at least two convolutional layers, each connected to a max pooling layer. A fusion network is connected to receive data from the local sub-network, and includes a plurality of fully connected layers that respectively determine local feature maps derived from images. A loss layer is connected to receive data from the fusion network, set filter parameters, and minimize ranking error.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.