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Paper Abstract and Keywords
Presentation 2024-02-19 13:45
CLIP-based Zero-shot In-Distribution Detection
Atsuyuki Miyai, Qing Yu (UTokyo), Go Irie (TUS), Kiyoharu Aizawa (UTokyo) ITS2023-53 IE2023-42
Abstract (in Japanese) (See Japanese page) 
(in English) Extracting in-distribution (ID) images from noisy images scraped from the Internet is an important preprocessing for constructing datasets, which can be partially addressed by zero-shot out-of-distribution (OOD) detection. However, the existing setting does not consider the realistic case where an image has both ID objects and OOD objects. As we can see why MS-COCO was created, it is crucial to identify images containing not only ID objects but also both ID and OOD objects as ID images to create robust recognizers. In this paper, we propose a novel problem setting called zero-shot in-distribution (ID) detection, where we identify images containing ID objects as ID images (even if they contain OOD objects), and images lacking ID objects as OOD images without any training. To solve this problem, we present a simple and effective approach, Global-Local Maximum Concept Matching (GL-MCM), based on both global and local visual-text alignments of CLIP features. Extensive experiments demonstrate that GL-MCM outperforms comparison methods on both multi-object datasets and single-object ImageNet benchmarks.
Keyword (in Japanese) (See Japanese page) 
(in English) CLIP / / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 381, IE2023-42, pp. 40-45, Feb. 2024.
Paper # IE2023-42 
Date of Issue 2024-02-12 (ITS, IE) 
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 ITS2023-53 IE2023-42

Conference Information
Committee ITS IE ITE-MMS ITE-ME ITE-AIT  
Conference Date 2024-02-19 - 2024-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Image Processing, etc. 
Paper Information
Registration To IE 
Conference Code 2024-02-ITS-IE-MMS-ME-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) CLIP-based Zero-shot In-Distribution Detection 
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Keyword(1) CLIP  
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1st Author's Name Atsuyuki Miyai  
1st Author's Affiliation The Univerisity of Tokyo (UTokyo)
2nd Author's Name Qing Yu  
2nd Author's Affiliation The Univerisity of Tokyo (UTokyo)
3rd Author's Name Go Irie  
3rd Author's Affiliation Tokyo University of Science (TUS)
4th Author's Name Kiyoharu Aizawa  
4th Author's Affiliation The Univerisity of Tokyo (UTokyo)
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Speaker Author-1 
Date Time 2024-02-19 13:45:00 
Presentation Time 15 minutes 
Registration for IE 
Paper # ITS2023-53, IE2023-42 
Volume (vol) vol.123 
Number (no) no.380(ITS), no.381(IE) 
Page pp.40-45 
#Pages 6 
Date of Issue 2024-02-12 (ITS, IE) 

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