Precision in Building Segmentation Competition Submission - Team UiAI

Sammendrag

The MapAI competition "Precision in Building Segmentation"
tasked researchers with developing neural networks to segment
buildings in aerial images, using RGB and LiDAR image data
in a labeled dataset. This paper presents the Team UiAI sub-
mission for this competition. To solve the tasks, convolutional
auto-encoders with pretrained encoder backbones was trained
using only the competition provided dataset, and after the fi-
nal withheld dataset was released, the trained model achieved
65.58% score for task 1 and 83.16% for task 2.