CCapFPN: A Context-Augmented Capsule Feature Pyramid Network for Pavement Crack Detection

IEEE Transactions on Intelligent Transportation Systems(2022)

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摘要
Periodically monitoring the pavement conditions is of great importance to many intelligent transportation activities. Timely and correctly identifying the distresses or anomalies on pavement surfaces can help to smooth traffic flows and avoid potential threats to pavement securities. In this paper, we develop a novel context-augmented capsule feature pyramid network (CCapFPN) to detect cracks from...
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关键词
Feature extraction,Deep learning,Image edge detection,Task analysis,Monitoring,Neurons,Fuses
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