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LUAI Challenge 2021 on Learning to Understand Aerial Images

arXiv 2108.13246 ↗First posted 30 Aug 2021cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 27 of its 38 references that are in the map. First posted on arXiv 30 Aug 2021.

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References · 27

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15 more
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