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JBE, vol. 28, no. 2, pp.230-237, March, 2023

DOI: https://doi.org/10.5909/JBE.2023.28.2.230

Deep Image Retrieval using Attention and Semantic Segmentation Map

Minjung Yoo, Eunhye Jo, Byoungjun Kim, and Sunok Kim

C.A E-mail: sunok.kim@kau.ac.kr

Abstract:
Self-driving is a key technology of the fourth industry and can be applied to various places such as cars, drones, cars, and
robots. Among them, localiztion is one of the key technologies for implementing autonomous driving as a technology that
identifies the location of objects or users using GPS, sensors, and maps. Locilization can be made using GPS or LIDAR, but it is
very expensive and heavy equipment must be mounted, and precise location estimation is difficult for places with radio
interference such as underground or tunnels. In this paper, to compensate for this, we proposes an image retrieval using attention
module and image segmentation maps using color images acquired with low-cost vision cameras as an input.


Keyword: Localization, Image Retrieval, Semantic Segmentation, Attention, Deep Learning

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