CrackDiffusion: a two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes
Achieving precise and reliable automated pavement crack detection using deep learning techniques is vital for intelligent pavement maintenance. This study proposes CrackDiffusion, an enhanced-supervised detection framework for pavement crack, combining two supervised and unsupervised stages. In Stag...
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Main Authors: | , , , , , |
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其他作者: | |
格式: | Article |
語言: | English |
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2024
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在線閱讀: | https://hdl.handle.net/10356/176034 |
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機構: | Nanyang Technological University |
語言: | English |