Technical Program

Paper Detail

Paper:TA.P8.4
Session:Deep Learning for Detection and Classification II
Location:Poster Area 8
Session Time:Tuesday, October 9, 10:30 - 12:10
Presentation Time:Tuesday, October 9, 10:30 - 12:10
Presentation: Poster
Topic: IVIU: Image & Video Interpretation & Understanding: IVIU-REC Object Recognition and Classification
Paper Title: DEEP-LEARNING-BASED PIPE LEAK DETECTION USING IMAGE-BASED LEAK FEATURES
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Authors: Ji-Hoon Bae, Doyeob Yeo, Electronics and Telecommunications Research Institute, Republic of Korea; Doo-Byung Yoon, Korea Atomic Energy Research Institute, Republic of Korea; Se Won Oh, Gwan Joong Kim, Nae-Soo Kim, Cheol-Sig Pyo, Electronics and Telecommunications Research Institute, Republic of Korea