SIT-GAN: A Slice Image Translation Network for Asphalt Mixture

Abstract

AbstractIn asphalt mixture research, deep learning networks have been widely applied to analyze slice images, serving as a foundation for numerous further valuable research. However, the effectiveness of these networks is hindered by the high cost of ...Practical ApplicationsThis study proposes a novel slice image translation network, SIT-GAN, for effective data augmentation of asphalt mixture slice image datasets. SIT-GAN enables high-quality bidirectional generation between various types of mixture ...