no code implementations • 22 Aug 2023 • Dan Zeng, Mingliang Zou, Xucheng Wang, Shuiwang Li
Lightweight Deep learning (DL)-based trackers can achieve a good balance between efficiency and precision but performance gains are limited by the compression rate.
no code implementations • 20 Aug 2023 • Xucheng Wang, Xiangyang Yang, Hengzhou Ye, Shuiwang Li
Efficiency has been a critical problem in UAV tracking due to limitations in computation resources, battery capacity, and unmanned aerial vehicle maximum load.
1 code implementation • ICCV 2023 • Shuiwang Li, Yangxiang Yang, Dan Zeng, Xucheng Wang
In this paper, we propose an efficient ViT-based tracking framework, Aba-ViTrack, for UAV tracking.
no code implementations • 5 Jul 2022 • Xucheng Wang, Dan Zeng, Qijun Zhao, Shuiwang Li
Model compression is a promising way to narrow the gap (i. e., effciency, precision) between DCF- and deep learning- based trackers, which has not caught much attention in UAV tracking.