| Paper Abstract and Keywords |
| Presentation |
2025-05-15 14:45
Region-based Entropy Separation for One-shot Test-Time Adaptation Kodai Kawamura, Go Irie (TUS) PRMU2025-3 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we address One-shot Test-Time Adaptation, which adapts a classification model using only a given single unlabeled test image. All the existing methods fine-tune the model so that the classification results are consistent for augmented views of a given test image. However, each region of an image has different information; some regions have rich class (object) information, while others express style information essentially irrelevant to the class information. The existing approach based on the image-level classification results is therefore inadequate. To address this problem, we propose a novel One-shot Test-Time Adaptation method based on region-based entropy separation. Specifically, our method aims to obtain style-invariant features by performing global entropy maximization as well as local entropy minimization only on the regions with high confidence values where the class information is considered to be strongly represented. Experimental results on three public benchmark datasets show that the proposed method outperforms the state-of-the-art One-shot Test-Time Adaptation methods. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Computer Vision / Vision-Language Models / Test-Time Adaptation / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 125, no. 26, PRMU2025-3, pp. 17-22, May 2025. |
| Paper # |
PRMU2025-3 |
| Date of Issue |
2025-05-08 (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 |
PRMU2025-3 |
| Conference Information |
| Committee |
PRMU IPSJ-CVIM |
| Conference Date |
2025-05-15 - 2025-05-16 |
| Place (in Japanese) |
(See Japanese page) |
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| Topics (in Japanese) |
(See Japanese page) |
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| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2025-05-PRMU-CVIM |
| Language |
English (Japanese title is available) |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Region-based Entropy Separation for One-shot Test-Time Adaptation |
| Sub Title (in English) |
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| Keyword(1) |
Computer Vision |
| Keyword(2) |
Vision-Language Models |
| Keyword(3) |
Test-Time Adaptation |
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| 1st Author's Name |
Kodai Kawamura |
| 1st Author's Affiliation |
Tokyo University of Science (TUS) |
| 2nd Author's Name |
Go Irie |
| 2nd Author's Affiliation |
Tokyo University of Science (TUS) |
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| Speaker |
Author-1 |
| Date Time |
2025-05-15 14:45:00 |
| Presentation Time |
60 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2025-3 |
| Volume (vol) |
vol.125 |
| Number (no) |
no.26 |
| Page |
pp.17-22 |
| #Pages |
6 |
| Date of Issue |
2025-05-08 (PRMU) |