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Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
13:15
Online Online A Note on Improvement of Accuracy in Classification of Distress Images for Efficient Inspection of Road Structures -- Introduction of Ratio of Similar Cases Based on Text Data --
Taisei Hirakawa, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In this paper, we propose a method for correcting the results of distress image classification using text data recorded ... [more]
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-20
13:30
Hokkaido Hokkaido Univ. A Note on Accurate Distress Classification for Maintenance Inspection of Road Structures via Deep Learning
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Automatic distress classification of distresses occurring in road structures is necessary in order to support inspectors... [more]
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