Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking

Author:

Li Shuiwang1,Yang Yangxiang1,Zeng Dan2,Wang Xucheng1

Affiliation:

1. Guilin University of Technology,College of Information Science and Engineering,China

2. Southern University of Science and Technology,Research Institue of Trustworthy Autonomous Systems,China

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Cited by 7 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. Memory Prompt for Spatiotemporal Transformer Visual Object Tracking;IEEE Transactions on Artificial Intelligence;2024-08

2. Learning Feature Restoration Transformer for Robust Dehazing Visual Object Tracking;International Journal of Computer Vision;2024-07-12

3. DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

4. Enhancing UAV tracking: a focus on discriminative representations using contrastive instances;Journal of Real-Time Image Processing;2024-04-21

5. Biological Eagle-Eye-Based Correlation Filter Learning for Fast UAV Tracking;IEEE Transactions on Instrumentation and Measurement;2024

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