| Paper Abstract and Keywords |
| Presentation |
2020-12-17 16:45
Vehicle detection using visualization of deep learning from in-vehicle night-time camera image Tatsuya Oyabu, Gosuke Ohashi (Shizuoka Univ.) PRMU2020-50 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We have been working on vehicle detection at night-time using deep learning. In general, the burden of creating correct labels for object detection is enormous compared to image classification. Therefore, we study a method for predicting the presence of vehicle on the road based on vehicle lights from the visualization results of image classification, which has a low cost of creating correct labels. In the conventional visualization methods, it is difficult to visualize small areas. Therefore, we propose a method inspired from the structure of an object detection model to visualize the task-driven small area in the scene. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Deep Learning / Vehicle Detection / Visualization / Classification / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 120, no. 300, PRMU2020-50, pp. 69-74, Dec. 2020. |
| Paper # |
PRMU2020-50 |
| Date of Issue |
2020-12-10 (PRMU) |
| 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) |
| Download PDF |
PRMU2020-50 |
| Conference Information |
| Committee |
PRMU |
| Conference Date |
2020-12-17 - 2020-12-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Transfer learning and few shot learning |
| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2020-12-PRMU |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Vehicle detection using visualization of deep learning from in-vehicle night-time camera image |
| Sub Title (in English) |
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| Keyword(1) |
Deep Learning |
| Keyword(2) |
Vehicle Detection |
| Keyword(3) |
Visualization |
| Keyword(4) |
Classification |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Tatsuya Oyabu |
| 1st Author's Affiliation |
Shizuoka University (Shizuoka Univ.) |
| 2nd Author's Name |
Gosuke Ohashi |
| 2nd Author's Affiliation |
Shizuoka University (Shizuoka Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2020-12-17 16:45:00 |
| Presentation Time |
15 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2020-50 |
| Volume (vol) |
vol.120 |
| Number (no) |
no.300 |
| Page |
pp.69-74 |
| #Pages |
6 |
| Date of Issue |
2020-12-10 (PRMU) |