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Automated Crack Detection via Semantic Segmentation Approaches Using Advanced U-Net Architecture

Honggeun Ji1,2, Jina Kim3, Syjung Hwang4, Eunil Park1,4,*

1 Department of Applied Artificial Intelligence, Sungkyunkwan University, Seoul, 03063, Korea
2 AI Research Team, Scalawox, Seoul, 08589, Korea
3 R&D Team, Raon Data, Seoul, 03073, Korea
4 Department of Interaction Science, Sungkyunkwan University, Seoul, 03063, Korea

* Corresponding Author: Eunil Park. Email: email

TSP_IASC_24405.pdf

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