An underwater dam crack image segmentation method based on multi-level adversarial transfer learning

Crack detection is necessary to ensure the health of dams. Traditional detection methods perform poorly because of weak adaptability and poor image quality. Deep learning shows excellent performance in crack image detection. However, it is difficult to realize supervised learning due to the lack of labelled underwater crack image datasets. Thus, a