The 2nd Anti-UAV Workshop & Challenge: Methods and Results

• URL: http://arxiv.org/abs/2108.09909v2
• Date: Wed, 25 Aug 2021 01:45:30 GMT
• Title: The 2nd Anti-UAV Workshop & Challenge: Methods and Results
• Authors: Jian Zhao, Gang Wang, Jianan Li, Lei Jin, Nana Fan, Min Wang, Xiaojuan Wang, Ting Yong, Yafeng Deng, Yandong Guo, Shiming Ge, Guodong Guo
• Abstract summary: The Anti-UAV dataset used for the Anti-UAV Challenge has been publicly released. Around 24 participating teams from the globe competed in the 2nd Anti-UAV Challenge.
• Score: 39.49256362437204
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The 2nd 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 subsets in the dataset, $i.e.$, the test-dev subset and test-challenge subset. Both subsets consist of 140 thermal infrared video sequences, spanning multiple occurrences of multi-scale UAVs. Around 24 participating teams from the globe competed in the 2nd Anti-UAV Challenge. In this paper, we provide a brief summary of the 2nd Anti-UAV Workshop \& Challenge including brief introductions to the top three methods.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/.

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