Paper Abstract and Keywords |
Presentation |
2021-03-03 13:25
Visualization of CNNs using Preferred Stimulus in Receptive Fields Genta Kobayashi, Hayaru Shouno (UEC) NC2020-47 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Convolutional neural networks have shown high performance at image processing task, and
they are interpreted by various methods.
For instance, there are visualization methods to estimate an input image by maximizing the activation of a neuron.
These methods have the problem that shows various solutions by optimization methods.
Here, we propose a visualization method using the preferred stimulus in the receptive field.
We apply our method to ResNet and PlainNet without skip connection trained on ImageNet.
Consequently, we show the effectiveness and confirm the properties of skip connection. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Convolutional Neural Network / Receptive Field / Visualization / Preferred Stimulus / Residual Network / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 403, NC2020-47, pp. 25-30, March 2021. |
Paper # |
NC2020-47 |
Date of Issue |
2021-02-24 (NC) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NC2020-47 |
Conference Information |
Committee |
NC MBE |
Conference Date |
2021-03-03 - 2021-03-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Neuro Computing, Medical Engineering, etc. |
Paper Information |
Registration To |
NC |
Conference Code |
2021-03-NC-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Visualization of CNNs using Preferred Stimulus in Receptive Fields |
Sub Title (in English) |
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Keyword(1) |
Convolutional Neural Network |
Keyword(2) |
Receptive Field |
Keyword(3) |
Visualization |
Keyword(4) |
Preferred Stimulus |
Keyword(5) |
Residual Network |
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1st Author's Name |
Genta Kobayashi |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Hayaru Shouno |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
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Speaker |
Author-1 |
Date Time |
2021-03-03 13:25:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2020-47 |
Volume (vol) |
vol.120 |
Number (no) |
no.403 |
Page |
pp.25-30 |
#Pages |
6 |
Date of Issue |
2021-02-24 (NC) |
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