Hasil Pencarian - Hiroya Maeda

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  1. 1
    Development of a Large-Scale Roadside Facility Detection Model Based on the Mapillary Dataset

    Development of a Large-Scale Roadside Facility Detection Model Based on the Mapillary Dataset oleh Zhehui Yang, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto

    Diterbitkan 2022-12-01
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  2. 2
    End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models

    End-to-End Framework for the Automatic Matching of Omnidirectional Street Images and Building Data and the Creation of 3D Building Models oleh Yoshiki Ogawa, Ryoto Nakamura, Go Sato, Hiroya Maeda, Yoshihide Sekimoto

    Diterbitkan 2024-05-01
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  3. 3
    RDD2020: An annotated image dataset for automatic road damage detection using deep learning

    RDD2020: An annotated image dataset for automatic road damage detection using deep learning oleh Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto

    Diterbitkan 2021-06-01
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  4. 4
    RDD2022: A multi‐national image dataset for automatic road damage detection

    RDD2022: A multi‐national image dataset for automatic road damage detection oleh Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto

    Diterbitkan 2024-10-01
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  5. 5
    The efficacy of a trauma call system: challenges in managing severe trauma at a rural emergency center without full‐time emergency physicians

    The efficacy of a trauma call system: challenges in managing severe trauma at a rural emergency center without full‐time emergency physicians oleh Naoya Matsumoto, Sumiharu Yamamoto, Izuru Endo, Osamu Yoshida, Masatoshi Kubo, Tetsunobu Udaka, Osanori Sogabe, Hiroya Maeda, Chika Kawata, Hironori Kurokawa

    Diterbitkan 2019-07-01
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