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Paper Abstract and Keywords
Presentation 2026-06-22 17:10
A Study on Image Segmentation using Latent Alignment
Yusuke Ono (Gunma Univ. of Health and Welfare) SIP2026-16 BioX2026-16 IE2026-16 MI2026-16
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, we investigate a prompt-free image segmentation method using Latent Alignment. The proposed method achieves segmentation without relying on text prompts by aligning structural latent representations of masks learned by a Mask VAE with image features obtained from a pre-trained multimodal model. In the experiments, a model trained on COCO was applied to multiple public datasets, and its transferability was evaluated under zero-shot and few-shot conditions. The results showed consistent transferability to natural image datasets, whereas performance degradation was observed on polyp segmentation datasets. Based on these results, we discuss the effectiveness and transferability of Latent Alignment.
Keyword (in Japanese) (See Japanese page) 
(in English) Latent Alignment / prompt-free segmentation / CLIP / Multimodal model / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 85, IE2026-16, pp. 81-85, June 2026.
Paper # IE2026-16 
Date of Issue 2026-06-15 (SIP, BioX, IE, MI) 
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 SIP2026-16 BioX2026-16 IE2026-16 MI2026-16

Conference Information
Committee ITE-IST ITE-ME IE BioX SIP MI  
Conference Date 2026-06-22 - 2026-06-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IE 
Conference Code 2026-06-IST-ME-IE-BioX-SIP-MI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Image Segmentation using Latent Alignment 
Sub Title (in English)  
Keyword(1) Latent Alignment  
Keyword(2) prompt-free segmentation  
Keyword(3) CLIP  
Keyword(4) Multimodal model  
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1st Author's Name Yusuke Ono  
1st Author's Affiliation Gunma University of Health and Welfare (Gunma Univ. of Health and Welfare)
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Speaker Author-1 
Date Time 2026-06-22 17:10:00 
Presentation Time 25 minutes 
Registration for IE 
Paper # SIP2026-16, BioX2026-16, IE2026-16, MI2026-16 
Volume (vol) vol.126 
Number (no) no.83(SIP), no.84(BioX), no.85(IE), no.86(MI) 
Page pp.81-85 
#Pages 5 
Date of Issue 2026-06-15 (SIP, BioX, IE, MI) 

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