Litcius/Paper detail

Two-stage framework with improved U-Net based on self-supervised contrastive learning for pavement crack segmentation

Qingsong Song, Wei Yao, Haojiang Tian, Yidan Guo, Ravie Chandren Muniyandi, Yisheng An

2023Expert Systems with Applications20 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceSegmentationResidualFeature (linguistics)Pattern recognition (psychology)Semi-supervised learningDeep learningSupervised learningFeature vectorMachine learningFeature learningGround truthRepresentation (politics)Stage (stratigraphy)Artificial neural networkGeologyAlgorithmLinguisticsPhilosophyPoliticsPaleontologyPolitical scienceLawInfrastructure Maintenance and MonitoringConcrete Corrosion and DurabilityAsphalt Pavement Performance Evaluation
Two-stage framework with improved U-Net based on self-supervised contrastive learning for pavement crack segmentation | Litcius