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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:00		 Hokkaido Hokkaido Univ. Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight
Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) 		This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
11:30		 Hokkaido Hokkaido Univ. Implementation of Hierarchical Object Detection Method for Super High-Definition Image Sensing
Makoto Sugaya, Yusei Horikawa, Renpei Yoshida, Tetsuya Matsumura (Nihon Univ.) ITS2022-65 IE2022-82		 In this paper, we propose a hierarchical object detection method for a 4K super-high definition. This method is a three-... [more] ITS2022-65 IE2022-82
pp.130-135
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2022-11-30
10:20		 Kumamoto  
(Primary: On-site, Secondary: Online)		 Deep Learning-based Hierarchical Object Detection System for High-Resolution Images
Yusei Horikawa, Makoto Sugaya, Renpei Yoshida, Kazuma Mashiko, Tetsuya Matsumura (Nihon Univ.) VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67		 This paper describes a new deep learning-based hierarchical object detection algorithm for high-resolution vision sensor... [more] VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67
pp.144-149
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