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/.
@article{arxiv.2305.07290,
title = {The 3rd Anti-UAV Workshop & Challenge: Methods and Results},
author = {Jian Zhao and Jianan Li and Lei Jin and Jiaming Chu and Zhihao Zhang and Jun Wang and Jiangqiang Xia and Kai Wang and Yang Liu and Sadaf Gulshad and Jiaojiao Zhao and Tianyang Xu and Xuefeng Zhu and Shihan Liu and Zheng Zhu and Guibo Zhu and Zechao Li and Zheng Wang and Baigui Sun and Yandong Guo and Shin ichi Satoh and Junliang Xing and Jane Shen Shengmei},
journal= {arXiv preprint arXiv:2305.07290},
year = {2023}
}
Comments
Technical report for 3rd Anti-UAV Workshop and Challenge. arXiv admin note: text overlap with arXiv:2108.09909