Deep convolution neural network-based transfer learning method for civil infrastructure crack detection

Crack detection is critical to guaranteeing safety of bridges, highway and other infrastructures. The deep convolution neural network (DCNN) makes it possible to efficiently and accurately implement image classification, and the accumulated knowledge of DCNN in other domains can be reused for crack detection. In this paper, we propose a transfer learning method based on DCNN to detect cracks. The proposed method models the knowledge learned by...