摘要
Dear Editor,This letter presents an intelligent small sample defect detection of concrete surface using novel deep learning integrating the improved YOLOv5 based on the Wasserstein GAN(WGAN)enhancement algorithm.The proposed method is capable of producing top-notch data sets to address the issues of insufficient samples and substandard quality.
基金
supported by the National Natural Science Foundation of China(21978013)
the Fundamental Research Funds for the Central in China(XK1802-4)。
