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Paper Abstract and Keywords
Presentation 2023-02-21 10:30
A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition is often applied in complex systems, such as autonomous driving, with sufficient social impact. In previous studies, convolutional neural networks were used to obtain features of traffic signs from images or videos. However, the recognition accuracy directly using neural networks is not high because it is difficult to get appropriate semantic information. This paper proposes a new method for traffic sign recognition based on a vision transformer adapter model using visual feature matching. First, we obtain segmentation binary masks of traffic signs using the vision transformer adapter model. Second, the coordinates of the generated segmentation masks are computed and used to extract traffic sign images from original city images. Finally, we calculate the similarity between the removed and the template traffic sign images at the feature level to perform traffic sign recognition. Experimental results show that the proposed method achieved promising results on a real-world dataset taken in Sapporo city, Japan.
Keyword (in Japanese) (See Japanese page) 
(in English) Traffic sign recognition / vision transformer adapter / visual feature matching / real-world dataset / / / /  
Reference Info. ITE Tech. Rep., vol. 47, no. 6, ME2023-21, pp. 1-4, Feb. 2023.
Paper # ME2023-21 
Date of Issue 2023-02-14 (MMS, ME, AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee MMS ME AIT IEICE-IE IEICE-ITS  
Conference Date 2023-02-21 - 2023-02-22 
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 2023-02-MMS-ME-AIT-IE-ITS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching 
Sub Title (in English)  
Keyword(1) Traffic sign recognition  
Keyword(2) vision transformer adapter  
Keyword(3) visual feature matching  
Keyword(4) real-world dataset  
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1st Author's Name Yaozong Gan  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Guang Li  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Ren Togo  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Keisuke Maeda  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Takahiro Ogawa  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
6th Author's Name Miki Haseyama  
6th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2023-02-21 10:30:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # MMS2023-1, ME2023-21, AIT2023-1 
Volume (vol) vol.47 
Number (no) no.6 
Page pp.1-4 
#Pages
Date of Issue 2023-02-14 (MMS, ME, AIT) 


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