| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2022-03-27 15:40 Evaluation of Industrial Anomaly Detection using Diffusion Model Yu Kashihara, Takashi Matsubara (Osaka Univ.)  CCS2021-48 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Anomaly detection by generative models is achieved by comparing the reconstruction and the original image. However, existing generative models often lead to a blurred reconstruction and the loss of original image features (e.g., the orientation)． In industrial anomaly detection, the objects often point to each direction and have detailed flaws. If the reconstruction is different from the original orientation and blurs the flaw, the anomaly detection fails. To avoid the problems, we propose the anomaly detection model based on diffusion model. The proposed model can reconstruct an image well and preserve original features. In this study, the model is evaluated on MVTeC AD, a dataset of industrial products anomaly detection, and demonstrates the area under receiver operating characteristic curve of 0.92. The score is significantly better than the existing generative models. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | deep learning / artificial intelligence / anomaly detection / generative model / diffusion model / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 442, CCS2021-48, pp. 72-77, March 2022. | |
| Paper # | CCS2021-48 | |
| Date of Issue | 2022-03-20 (CCS) | |
| 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 | CCS2021-48 |
|
| Conference Information | |
| Committee | CCS |
| Conference Date | 2022-03-27 - 2022-03-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | RUSUTSU RESORT HOTEL & CONVENTION |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | CCS |
| Conference Code | 2022-03-CCS |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of Industrial Anomaly Detection using Diffusion Model |
| Sub Title (in English) | |
| Keyword(1) | deep learning |
| Keyword(2) | artificial intelligence |
| Keyword(3) | anomaly detection |
| Keyword(4) | generative model |
| Keyword(5) | diffusion model |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yu Kashihara |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Takashi Matsubara |
| 2nd Author's Affiliation | Osaka University (Osaka Univ.) |
| 3rd Author's Name | |
| 3rd Author's Affiliation | () |
| 4th Author's Name | |
| 4th Author's Affiliation | () |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2022-03-27 15:40:00 |
| Presentation Time | 25 minutes |
| Registration for | CCS |
| Paper # | CCS2021-48 |
| Volume (vol) | vol.121 |
| Number (no) | no.442 |
| Page | pp.72-77 |
| #Pages | 6 |
| Date of Issue | 2022-03-20 (CCS) |
[Return to Top Page]