NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
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by
Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte, Sahil Jain, Bob Lee, Yuru Duan, Wei Wei, Lei Zhang, Songzheng Xu, Yuxuan Sun, Jiaqi Tang (+22 others)
2022
Abstract
In this paper, we introduce the first Challenge on Multi-modal Aerial View
Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at
CVPR. This challenge is composed of two different tracks using EO andSAR
imagery. Both EO and SAR sensors possess different advantages and drawbacks.
The purpose of this competition is to analyze how to use both sets of sensory
information in complementary ways. We discuss the top methods submitted for
this competition and evaluate their results on our blind test set. Our
challenge results show significant improvement of more than 15% accuracy from
our current baselines for each track of the competition
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