LUAI Challenge 2021 on Learning to Understand Aerial Images [article]

Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo (+24 others)
2021 arXiv   pre-print
This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images. Using DOTA-v2.0 and GID-15 datasets, this challenge proposes three tasks for oriented object detection, horizontal object detection, and semantic segmentation of common categories in aerial images. This challenge received a total of 146 registrations on the three tasks. Through the challenge, we hope to
more » ... raw attention from a wide range of communities and call for more efforts on the problems of learning to understand aerial images.
arXiv:2108.13246v2 fatcat:3ms4nwenfjha3ohsilyag3273e