Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network
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DOI: 10.1016/j.autcon.2019.102946
Abstract: Abstract Crack Deep Network (CrackDN) is proposed in this research with the purpose of detecting sealed and unsealed cracks with complex road backgrounds. CrackDN is based on Faster Region Convolutional Neural Network (Fast-RCNN) architecture by… read more here.
Keywords: detection; sealed unsealed; network; convolutional neural ... See more keywords