We expect to receive 20 papers, one of which will be selected as the best paper for oral presentation.
4th Anti-UAV Submission Policies
Comming Soon
Topics of interest
The submissions are expected to deal with visual perception and processing tasks which include but are not limited to:
- 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 open-set identification of UAVs
- Scene understanding for anti-UAV
- Small/tiny object detection and tracking techniques
- Fine-grained UAV target recognition
- Real-time lightweight deep learning inference for anti-UAV
- Infrared image and video analysis for anti-UAV
- Large-scale benchmark datasets on anti-UAV
- Biologically inspired computer vision techniques for anti-UAV
- Multi-modal perception of UAV
- Technical survey on anti-UAV
Citations
@article{jiang2021anti,
title={Anti-UAV: A large-scale benchmark for vision-based UAV tracking},
author={Jiang, Nan and Wang, Kuiran and Peng, Xiaoke and Yu, Xuehui and Wang, Qiang and Xing, Junliang and Li, Guorong and Guo, Guodong and Ye, Qixiang and Jiao, Jianbin and others},
journal={IEEE Transactions on Multimedia},
volume={25},
pages={486--500},
year={2021},
publisher={IEEE}
}
@article{huang2023anti,
title={Anti-UAV410: A thermal infrared benchmark and customized scheme for tracking drones in the wild},
author={Huang, Bo and Li, Jianan and Chen, Junjie and Wang, Gang and Zhao, Jian and Xu, Tingfa},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume={46},
number={5},
pages={2852--2865},
year={2023},
publisher={IEEE}
}