Open Access

ARTICLE

Deep Learning Based Underground Sewer Defect Classification Using a Modified RegNet

Yu Chen¹, Sagar A. S. M. Sharifuzzaman², Hangxiang Wang¹, Yanfen Li¹, L. Minh Dang³, Hyoung-Kyu Song³, Hyeonjoon Moon^1,*

1 Department of Computer Science and Engineering, Sejong University, Seoul, 05006, Korea
2 Department of Intelligent Mechatronics Engineering, Sejong University, Seoul, 05006, Korea
3 Department of Information of Communication Engineering, and Convergence Engineering for Intelligent Drone, Sejong University, Seoul, 05006, Korea

* Corresponding Author: Hyeonjoon Moon. Email: