The 4th anti-UAV Challenge and Workshop will maintain the formerly established benchmark dataset that consists of 410 high-quality video sequences, as shown in Figure 4, while …

In addition, we have presented a new track for multiple UAV tracking (Track3). This track contains a total of 300 video sequences, with 200 used as the training set and 100 as the test set. The …

Track2: Single UAV Detection & Tracking. Whether a drone target exits in the initial frame is unknown. This challenge track requires algorithms to detect and track the drone target when it …

The 3nd Anti-UAV Workshop & Challenge - CVPR Workshops, 2023. A Global-Local Tracking Framework Driven by Both Motion and Appearance for Infrared Anti-UAV Yifan Li, Dian Yuan, …

The 2nd Anti-UAV Workshop & Challenge - ICCV Workshops, 2021. A Real-time Anti-distractor Infrared UAV Tracker with Channel Feature Refinement Module

Applications of computer vision and machine learning on anti-UAV; Strategies for searching UAVs based on RGB/NIR data; Spectrum sensing techniques for UAVs detection; Localization and …

The 1st Anti-UAV Workshop & Challenge - CVPR Workshops, 2020. Robust High-speed Siamese Tracker with Template Update Network LinCan Li (Northeastern University)*; Shuo Yang …

Performance of YOLOv3 on Anti-UAV Dataset •Target detection and tracking results are quite acceptable, but not accurate due to existing annotation errors in the dataset

Leaderboard of the 1st Anti-UAV; Leaderboard of the 2nd Anti-UAV; Leaderboard of the 3rd Anti-UAV; Submission; Organizers; ORGANIZING COMMITTEE. Jianan Li. Miguel Bordallo López. …

Anti-UAV tracking task requires to report the UAV target position and provide the target invisible mark from the multi-modal dataset. https://anti-uav.github.io/dataset/ Evaluation ranks are …