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| Presentation | 2015-02-19 16:20 [Poster Presentation] Facial Point Detection Based on Deep Convolutional Neural Network with Optimal Minibatch Masatoshi Kimura, Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi (Chubu Univ.)  PRMU2014-127 CNR2014-42 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We propose a Convolutional Neural Network (CNN)-based method to ensure both robustness to variations in facial pose. Although the robustness of CNN has attracted attention in various fields, the training process suffers from difficulties in parameter setting and the manner in which training samples are provided. We demonstrate a manner of providing samples that results in a better network. Experimental results indicate that the subset with augmentation technique has sufficient variations and quantity to obtain the best performance. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Convolutional Neural Network / Facial Point Detection / minibatch / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 114, no. 454, PRMU2014-127, pp. 87-88, Feb. 2015. | |
| Paper # | PRMU2014-127 | |
| Date of Issue | 2015-02-12 (PRMU, CNR) | |
| ISSN | Print edition: ISSN 0913-5685 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) | |
| Download PDF | PRMU2014-127 CNR2014-42 |
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| Conference Information | |
| Committee | PRMU CNR |
| Conference Date | 2015-02-19 - 2015-02-20 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2015-02-PRMU-CNR |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Facial Point Detection Based on Deep Convolutional Neural Network with Optimal Minibatch |
| Sub Title (in English) | |
| Keyword(1) | Convolutional Neural Network |
| Keyword(2) | Facial Point Detection |
| Keyword(3) | minibatch |
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| 1st Author's Name | Masatoshi Kimura |
| 1st Author's Affiliation | Chubu University (Chubu Univ.) |
| 2nd Author's Name | Hiroshi Fukui |
| 2nd Author's Affiliation | Chubu University (Chubu Univ.) |
| 3rd Author's Name | Takayoshi Yamashita |
| 3rd Author's Affiliation | Chubu University (Chubu Univ.) |
| 4th Author's Name | Yuji Yamauchi |
| 4th Author's Affiliation | Chubu University (Chubu Univ.) |
| 5th Author's Name | Hironobu Fujiyoshi |
| 5th Author's Affiliation | Chubu University (Chubu Univ.) |
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| Speaker | Author-2 |
| Date Time | 2015-02-19 16:20:00 |
| Presentation Time | 10 minutes |
| Registration for | PRMU |
| Paper # | PRMU2014-127, CNR2014-42 |
| Volume (vol) | vol.114 |
| Number (no) | no.454(PRMU), no.455(CNR) |
| Page | pp.87-88 |
| #Pages | 2 |
| Date of Issue | 2015-02-12 (PRMU, CNR) |
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