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Yuxiao Zhou et al.
TRANSPORTATION RESEARCH RECORD (2016)
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Chul Min Yeum et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2015)
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Kaiming He et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
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Dan Ciresan et al.
NEURAL NETWORKS (2012)
FoSA: F* Seed-growing Approach for crack-line detection from pavement images
Qingquan Li et al.
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SENSORS (2011)
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Je-Keun Oh et al.
AUTOMATION IN CONSTRUCTION (2009)