The 2nd Anti-UAV Workshop & Challenge: Methods and Results (2108.09909v3)
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/.
- Jian Zhao (218 papers)
- Gang Wang (407 papers)
- Jianan Li (88 papers)
- Lei Jin (73 papers)
- Nana Fan (8 papers)
- Min Wang (233 papers)
- Xiaojuan Wang (14 papers)
- Ting Yong (1 paper)
- Yafeng Deng (11 papers)
- Yandong Guo (78 papers)
- Shiming Ge (47 papers)
- Guodong Guo (75 papers)