Image feature learning device, image feature learning method, image feature extraction device, image feature extraction method, and program

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United States of America Patent

PATENT NO 11748619
APP PUB NO 20210256290A1
SERIAL NO

17251686

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ATTORNEY / AGENT: (SPONSORED)

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Abstract

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The purpose of the present invention is to enable learning of a neural network for extracting features of images having high robustness from an undiscriminating image region while minimizing the number of parameters of a pooling layer. A parameter learning unit 130 learns parameters of each layer in a convolutional neural network configured by including a fully convolutional layer for performing convolution of an input image to output a feature tensor of the input image, a weighting matrix estimation layer for estimating a weighting matrix indicating a weighting of each element of the feature tensor, and a pooling layer for extracting a feature vector of the input image based on the feature tensor and the weighting matrix. The parameter learning unit 130 learns the parameters such that a loss function value obtained by calculating a loss function expressed by using a distance between a first feature vector of a first image and a second feature vector of a second image, which are relevant images and are obtained by applying the convolutional neural network, becomes smaller.

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Patent Owner(s)

Patent OwnerAddress
NIPPON TELEGRAPH AND TELEPHONE CORPORATIONCHIYODA-KU TOKYO 100-8116

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Hiramatsu, Kaoru Tokyo, JP 21 150
Irie, Go Tokyo, JP 10 59
Kashino, Kunio Tokyo, JP 50 182
Wu, Xiaomeng Tokyo, JP 9 16

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