Before revision:  SEG-Net uses  a self-attentive architecture, known as ,\emph{Transformer as the building block with a couple of uniqueness. First, SEG-Net incorporates a novel \emph{layer-wise} coverage attention to summarize most of the points discussed in the target document.
After revision:  SEG-Net uses a self-attentive architecture, known as ,\emph{Transformer as the building block with a novel \emph{layer-wise} coverage attention to summarize most of the points discussed in the target document.