2020
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation
ECCV 2020poster
Most state-of-the-art approaches to road extraction from aerial images rely on a CNN trained to label road pixels as foreground and remainder of the image as background. The CNN is usually trained by minimizing pixel-wise losses, which is less than ideal to produce binary masks that preserve the roa…