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Paper Abstract and Keywords
Presentation 2021-11-25 10:50
Acceleration of Neural Network Visualization RISE by Reduction of Masks
Tomoki Nakada, Imamura Kousuke (Kanazawa Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, various techniques have been proposed to visualize the basis for decisions in image recognition using neural networks. In RISE which is one method of them, the importance in an image is heat-mapped by observing the response of the network while partially hiding the input image with a randomly generated mask. However, due to the random mask generation, this method requires many masked images to obtain stationarity, which in turn requires a large amount of computation time. In this study, in addition to the random masks used in the conventional method, we use non-random patch masks that only pass through one limited area to speed up RISE by reducing the number of masks used.
Keyword (in Japanese) (See Japanese page) 
(in English) Image recognition / Neural network visualization / RISE / / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee BCT IEICE-CS IPSJ-AVM IEICE-IE  
Conference Date 2021-11-25 - 2021-11-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image coding, Communications and streaming technologies, etc. 
Paper Information
Registration To IEICE-IE 
Conference Code 2021-11-AVM-CS-IE-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Acceleration of Neural Network Visualization RISE by Reduction of Masks 
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Keyword(1) Image recognition  
Keyword(2) Neural network visualization  
Keyword(3) RISE  
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1st Author's Name Tomoki Nakada  
1st Author's Affiliation Kanazawa University (Kanazawa Univ.)
2nd Author's Name Imamura Kousuke  
2nd Author's Affiliation Kanazawa University (Kanazawa Univ.)
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Speaker
Date Time 2021-11-25 10:50:00 
Presentation Time 25 
Registration for IEICE-IE 
Paper #  
Volume (vol) ITE-45 
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#Pages ITE- 
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