Computer Science > Computer Vision and Pattern Recognition
[Submitted on 30 Aug 2021 (v1), last revised 17 Sep 2021 (this version, v2)]
Title:LUAI Challenge 2021 on Learning to Understand Aerial Images
View PDFAbstract: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 draw attention from a wide range of communities and call for more efforts on the problems of learning to understand aerial images.
Submission history
From: Ding Jian [view email][v1] Mon, 30 Aug 2021 14:03:54 UTC (8,431 KB)
[v2] Fri, 17 Sep 2021 11:36:01 UTC (8,441 KB)
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