  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
