2019
A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes
CVPR 2019poster
Most current semantic segmentation approaches fall back on deep convolutional neural networks (CNNs). However, their use of convolution operations with local receptive fields causes failures in modeling contextual spatial relations. Prior works have sought to address this issue by using graphical mo…