Graph image representation from convolutional neural networks

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United States of America Patent

PATENT NO 9418458
APP PUB NO 20160196672A1
SERIAL NO

14987479

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Abstract

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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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Patent OwnerAddress
SUPERFISH LTD18 BEN GURION STREET P O B 299 GIVAT SHMUEL 54101

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chertok, Michael Raanana, IL 14 313
Lorbert, Alexander Givat Shmuel, IL 8 275

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