Balanced semisupervised generative adversarial network for damage assessment from low-data imbalanced-class regime

Yuqing Gao, Pengyuan Zhai, Khalid M. Mosalam

Abstract: In recent years, applying deep learning (DL) to assess structural damages has gained growing popularity in vision-based structural health monitoring (SHM). However, both data deficiency and class imb...