LUAI Challenge 2021 on Learning to Understand Aerial Images
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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 [7] and GID-15 [35] 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.
Original language | English |
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Title of host publication | 2021 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) |
Number of pages | 7 |
Publisher | IEEE |
Publication date | 2021 |
Pages | 762-768 |
DOIs | |
Publication status | Published - 2021 |
Externally published | Yes |
Event | 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021 - Virtual, Online, Canada Duration: 11 Oct 2021 → 17 Oct 2021 |
Conference
Conference | 18th IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021 |
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Land | Canada |
By | Virtual, Online |
Periode | 11/10/2021 → 17/10/2021 |
Sponsor | CVF, IEEE |
Bibliographical note
Publisher Copyright:
© 2021 IEEE.
ID: 302912400