LEARNING DEVICE, LEARNING METHOD, AND PROGRAM

Japanese Patent JP2022190874

A

To provide a learning device, a learning method and a program, capable of inhibiting a deterioration of accuracy in feature extraction processing that utilizes an anti-aliasing convolutional neural network, even if fine tuning is executed using learning data smaller than a specified quantity.SOLUTION: A learning device includes: a first image processing part configured to execute first image processing using a teacher model parameter using an image processing parameter of a learned convolutional neural network to a learning image; a second image processing part configured to execute second image processing using a student model parameter including the teacher model parameter and an additional parameter to the learning image; an interim loss derivation part configured to derive an interim loss function value showing a difference between an interim result of the first image processing and an interim result of the second image processing; and an optimization processing part configured to update the student model parameter through updating the additional parameter so as to reduce the interim loss function value.SELECTED DRAWING: Figure 1

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SUZUKI SATOSHI
TANIDA RYUICHI
KIMATA HIDEAKI
SHONO HAYARU

JP2021099368A

December 27, 2022

June 15, 2021

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NIPPON TELEGRAPH & TELEPHONE
UNIV ELECTRO COMMUNICATIONS

G06T7/00; G06N3/08; G06N20/00

Patent Attorney Shiga International Patent Office

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