2018
DOI: 10.1007/978-981-13-2203-7_55
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Recognition of Tunnel Cracks Based on Deep Convolutional Neural Network Classifier

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“…In 2021, Li Yangfan et al [4] proposed an improved YOLOv4 spatial infrared weak target detection method, with an average recognition accuracy rate of over 93.25% and a detection speed of 38.99ms/frame. In 2021, Song Xin of Dalian University of Technology [5] used the X-YOLOv3 network structure to identify parts of gears and bearings in the workshop in a simulated workshop. The results show that this method can reduce the work pressure of operators.…”
Section: Introductionmentioning
confidence: 99%
“…In 2021, Li Yangfan et al [4] proposed an improved YOLOv4 spatial infrared weak target detection method, with an average recognition accuracy rate of over 93.25% and a detection speed of 38.99ms/frame. In 2021, Song Xin of Dalian University of Technology [5] used the X-YOLOv3 network structure to identify parts of gears and bearings in the workshop in a simulated workshop. The results show that this method can reduce the work pressure of operators.…”
Section: Introductionmentioning
confidence: 99%