Enhancing UAV tracking: a focus on discriminative representations using contrastive instances-Reference-Cited by-同舟云学术

Enhancing UAV tracking: a focus on discriminative representations using contrastive instances

Published:2024-04-21 Issue:3 Volume:21 Page:
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Wang Xucheng,Zeng Dan,Li Yongxin,Zou Mingliang,Zhao Qijun,Li Shuiwang

Funder

Guangxi Key Laboratory of Embedded Technology and Intelligent System, Research Institute of Trustworthy Autonomous Systems, the National Natural Science Foundation of China

the Science and Technology Department of Tibet

the Sichuan Province Key Research and Development Project

Specific Research Project of Guangxi for Research Bases and Talents

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11554-024-01456-2.pdf

Reference54 articles.

1. Li, Y., Fu, C., Ding, F., Huang, Z., Lu, G.: Autotrack: towards high-performance visual tracking for uav with automatic spatio-temporal regularization, CVPR, pp. 11920–11929 (2020)

2. Cao, Z., Fu, C., Ye, J., Li, B., Li, Y.: Hift: hierarchical feature transformer for aerial tracking. In: ICCV, pp. 15457–15466 (2021)

3. Wang, X., Zeng, D., Zhao, Q., Li, S.: Rank-based filter pruning for real-time uav tracking. In: ICME, pp. 01–06 (2022)

4. Wu, W., Pengzhi, Z., Li, S.: Fisher pruning for real-time uav tracking. In: IJCNN, pp. 1–7 (2022)

5. Wang, X., Zeng, D., Zhao, Q., Li, S.: Exploiting rank-based filter pruning for real-time uav tracking. SSRN Electron. J. (2022)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Four mathematical modeling forms for correlation filter object tracking algorithms and the fast calculation for the filter;Electronic Research Archive;2024

2. Autonomous UAV Visual Navigation Using an Improved Deep Reinforcement Learning;IEEE Access;2024