ATTRIBUTE IDENTIFICATION APPARATUS, ATTRIBUTE IDENTIFICATION MODEL LEARNING APPARATUS, METHOD AND PROGRAM

Sudo Kyoko,Murazaki Kazuhiko, Umeda Takayuki, Kinebuchi Tetsuya, Yamaguchi Kota,Okaya Takayuki

user-618b9067e554220b8f259598(2019)

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摘要
To identify an attribute of an image with high accuracy.SOLUTION: An attribute identification unit 230 identifies at least one attribute the image has on the basis of a multilayer neural network model including a convolution neural network with an image whose attribute is unknown as input, which outputs the probability that the image has each of a plurality of attributes and a layer outputting a probability having each of the plurality of attributes according to a correlation between the attributes, using output of the convolution neural network and a potential function indicating the correlation between the attributes.SELECTED DRAWING: Figure 5
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关键词
Artificial neural network,Convolutional neural network,Identification (information),Pattern recognition,Image (mathematics),Function (mathematics),Basis (linear algebra),Layer (object-oriented design),Computer science,Correlation,Artificial intelligence
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