Abstract: Data-driven deep learning techniques have made notable advancements in modeling electromagnetic (EM) scattering problems. owever, its accuracy on the testing dataset can be heavily reduced ...

Abstract: In recent years, deep-learning-based methods have been introduced for solving inverse scattering problems (ISPs), but most of them heavily rely on large training datasets and suffer from ...