Oct 5, 2020 · This article proposes a novel multiple attending path neural network (MAP-Net) for accurately extracting multiscale building footprints and precise boundaries.

Oct 26, 2019 · This paper proposes a novel multi attending path neural network (MAP-Net) for accurately extracting multiscale building footprints and precise boundaries.

This article proposes a novel multiple attending path neural network (MAP-Net) for accurately extracting multiscale building footprints and precise boundaries.

This paper proposes a novel multi attending path neural network (MAP-Net) for accurately extracting multiscale building footprints and precise boundaries.

This article proposes a novel multiple attending path neural network (MAP-Net), which outperforms multiscale aggregation fully convolutional network (MA-FCN).

Abstract—Building footprint extraction is a basic task in the fields of mapping, image understanding, computer vision, and so.

Oct 26, 2019 · Accurately and efficiently extracting building footprints from a wide range of remote sensed imagery remains a challenge due to the complex ...

MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery ... A Multi-Task Network with Distance-Mask ...

Building footprint extraction is a basic task in the fields of mapping, image understanding, computer vision, and so on.

MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery ,Science hub Mutual Aid community.