Graph image representation from convolutional neural networks
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United States of America Patent
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-
Aug 16, 2016
Grant Date -
Jul 7, 2016
app pub date -
Jan 4, 2016
filing date -
Jan 5, 2015
priority date (Note) -
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status (Latency Note)
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Abstract
A method for producing a graph representation of an input image, the method including the procedures of applying convolutional layers of a trained convolutional neural network on the input image, defining a receptive field of a last convolutional layer of the trained convolutional neural network as a vertex of the graph representation, defining a vector of a three dimensional output matrix of the last convolutional layer that is mapped to the receptive field as a descriptor for the vertex and determining an edge between a pair of vertices of the graph representation by applying an operator on a pair of descriptors respective of the pair of vertices.
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- 46 Citation Count
- G06T Class
- 96.47 % this patent is cited more than
- 9 Age
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|---|---|---|---|---|
| 11.5 Year Payment | $7400.00 | $3700.00 | $1850.00 | Feb 16, 2028 |
