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The 2nd Anti-UAV Workshop & Challenge: Methods and Results (2108.09909v3)

Published 23 Aug 2021 in cs.CV

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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Authors (12)
  1. Jian Zhao (218 papers)
  2. Gang Wang (407 papers)
  3. Jianan Li (88 papers)
  4. Lei Jin (73 papers)
  5. Nana Fan (8 papers)
  6. Min Wang (233 papers)
  7. Xiaojuan Wang (14 papers)
  8. Ting Yong (1 paper)
  9. Yafeng Deng (11 papers)
  10. Yandong Guo (78 papers)
  11. Shiming Ge (47 papers)
  12. Guodong Guo (75 papers)
Citations (21)

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