  The 3rd Anti-UAV Workshop & Challenge aims to encourage research in
developing novel and accurate methods for multi-scale object tracking. The
Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released.
There are two main differences between this year's competition and the previous
two. First, we have expanded the existing dataset, and for the first time,
released a training set so that participants can focus on improving their
models. Second, we set up two tracks for the first time, i.e., Anti-UAV
Tracking and Anti-UAV Detection & Tracking. Around 76 participating teams from
the globe competed in the 3rd Anti-UAV Challenge. In this paper, we provide a
brief summary of the 3rd Anti-UAV Workshop & Challenge including brief
introductions to the top three methods in each track. The submission
leaderboard will be reopened for researchers that are interested in the
Anti-UAV challenge. The benchmark dataset and other information can be found
at: https://anti-uav.github.io/.
