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Paper Abstract and Keywords
Presentation 2026-02-19 14:00
Investigating the Potential of Vision-Language Models in Cross-View Geo-Localization
Momoko Maezawa, Naotsuna Fujimori, Rei Endo, Takahiro Mochizuki (NHK)
Abstract (in Japanese) (See Japanese page) 
(in English) Cross-view geo-localization is a technique that estimates the location at which a ground image was captured by retrieving the corresponding satellite image from a geo-referenced satellite image database. However, the task is inherently challenging not only due to the significant viewpoint differences between ground and satellite images, but also because of the limited field of view (FoV) of ground images, which often results in reduced localization accuracy. In this paper, we investigate the potential of Vision-Language Models (VLMs) for cross-view geo-localization. As an initial step, we evaluate VLMs using a pairwise comparison setting with ground images of FoV 70°, where the model selects the correct satellite image from a pair consisting of one positive and one negative candidate.
Keyword (in Japanese) (See Japanese page) 
(in English) Cross-view geo-localization / Visual place recognition / Image retrieval / Image geo-localization / / / /  
Reference Info. ITE Tech. Rep., vol. 50, no. 5, ME2026-11, pp. 47-50, Feb. 2026.
Paper # ME2026-11 
Date of Issue 2026-02-12 (MMS, ME, AIT, SIP) 
ISSN Online edition: ISSN 2424-1970
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Conference Information
Committee IEICE-IE IEICE-ITS MMS ME AIT SIP  
Conference Date 2026-02-19 - 2026-02-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2026-02-IE-ITS-MMS-ME-AIT-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Investigating the Potential of Vision-Language Models in Cross-View Geo-Localization 
Sub Title (in English)  
Keyword(1) Cross-view geo-localization  
Keyword(2) Visual place recognition  
Keyword(3) Image retrieval  
Keyword(4) Image geo-localization  
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1st Author's Name Momoko Maezawa  
1st Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
2nd Author's Name Naotsuna Fujimori  
2nd Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
3rd Author's Name Rei Endo  
3rd Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
4th Author's Name Takahiro Mochizuki  
4th Author's Affiliation NHK Science & Technology Research Laboratories (NHK)
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Speaker Author-1 
Date Time 2026-02-19 14:00:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # MMS2026-11, ME2026-11, AIT2026-11, SIP2026-11 
Volume (vol) vol.50 
Number (no) no.5 
Page pp.47-50 
#Pages
Date of Issue 2026-02-12 (MMS, ME, AIT, SIP) 


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