Effectiveness of Class Definition in Detecting Defects of Bridge-Attached Equipment by Deep Learning

Presentation information

第VI部門

Thu. Sep 15, 2022 1:00 PM - 2:20 PM VI-4 (吉田南総合館北棟　共北２７)

Chair: Yuji Goryozono

1:30 PM - 1:40 PM

*Fumito Kudo¹, Daisuke Uchibori¹, Yousuke Sakurada¹, atsushi aratake¹ (1. NTT Access Network Service Systems Laboratories)

Keywords:Bridge attachment, Communication pipeline, Object detection, Deep learning, Classification

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