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Paper Abstract and Keywords
Presentation 2025-02-18 15:55
A Note on Personalized Anomaly Detection Based on Vision Language Model Using Image Prompt
Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents a personalized anomaly detection method based on the Vision Language Model (VLM) that utilizes image prompt input. Conventional VLM-based anomaly detection methods mainly utilize Contrastive Language-Image Pre-training (CLIP) to detect anomalies based on the relationship between text and image features. However, such approaches have a problem that detailed information on the target object is missing when calculating features.
To address this problem, our study inputs target object information into the overall structure of CLIP via image prompts. This operation suppresses the missing information and enables accurate anomaly detection of object-specific anomalies. In addition, by constructing a framework that allows arbitrary image prompt input to CLIP's image encoder through an adapter, the proposed method can handle both general anomalies and object-specific anomalies. At the end of the paper, we verify the effectiveness of the proposed method through experiments using a real-world dataset for industrial anomaly detection.
Keyword (in Japanese) (See Japanese page) 
(in English) Anomaly detection / Vision language model / Personalization / Vision transformer / / / /  
Reference Info. ITE Tech. Rep., vol. 49, no. 4, ME2025-18, pp. 91-95, Feb. 2025.
Paper # ME2025-18 
Date of Issue 2025-02-11 (MMS, ME, AIT, SIP) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee ME AIT MMS IEICE-IE IEICE-ITS SIP  
Conference Date 2025-02-18 - 2025-02-19 
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 ME 
Conference Code 2025-02-ME-AIT-MMS-IE-ITS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Personalized Anomaly Detection Based on Vision Language Model Using Image Prompt 
Sub Title (in English)  
Keyword(1) Anomaly detection  
Keyword(2) Vision language model  
Keyword(3) Personalization  
Keyword(4) Vision transformer  
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1st Author's Name Haruka Matsuda  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Ren Togo  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Keisuke Maeda  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Takahiro Ogawa  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Miki Haseyama  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2025-02-18 15:55:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # MMS2025-18, ME2025-18, AIT2025-18, SIP2025-18 
Volume (vol) vol.49 
Number (no) no.4 
Page pp.91-95 
#Pages
Date of Issue 2025-02-11 (MMS, ME, AIT, SIP) 


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