FOB-Net: A Semantic Segmentation Method Focusing on Boundary Information

Abstract

In this paper, we will introduce an original neural network FOB-Net for semantic segmentation tasks. This network's innovation is that it pays more attention to the boundary information and gets the supervised information directly. After our extensive understanding and research about the several used networks in the semantic segmentation application scenario. We analyzed the various accepted network structures. In the end, we revise the existing network to get the FOB-Net.