Computer Science > Computer Vision and Pattern Recognition
[Submitted on 23 Aug 2021 (v1), last revised 29 Sep 2021 (this version, v3)]
Title:The 2nd Anti-UAV Workshop & Challenge: Methods and Results
View PDFAbstract: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 this http URL 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: this https URL.
Submission history
From: Lei Jin [view email][v1] Mon, 23 Aug 2021 03:27:36 UTC (739 KB)
[v2] Wed, 25 Aug 2021 01:45:30 UTC (739 KB)
[v3] Wed, 29 Sep 2021 07:38:39 UTC (738 KB)
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