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/.

翻译：第三届反无人机研讨会与挑战赛旨在激励研究人员开发针对多尺度目标跟踪的创新性高精度方法。用于反无人机挑战赛的反无人机数据集已公开发布。本届竞赛与前两届存在两个主要区别：首先，我们扩展了现有数据集，并首次发布训练集，使参赛者能够专注于改进模型；其次，我们首次设立了两个赛道，即反无人机跟踪赛道与反无人机检测与跟踪赛道。来自全球约76支参赛团队参与了第三届反无人机挑战赛。本文简要总结了第三届反无人机研讨会与挑战赛，包括对各赛道前三名方法的概述。针对反无人机挑战赛感兴趣的科研人员，提交排行榜将重新开放。基准数据集及其他信息可访问：https://anti-uav.github.io/。