Siamese object tracking for unmanned aerial vehicle: A review and comprehensive analysis
Unmanned aerial vehicle (UAV)-based visual object tracking has enabled a wide range of
applications and attracted increasing attention in the field of artificial intelligence (AI) …
applications and attracted increasing attention in the field of artificial intelligence (AI) …
Sam-da: Uav tracks anything at night with sam-powered domain adaptation
Domain adaptation (DA)-based training has demonstrated significant promise for obtaining
real-time nighttime unmanned aerial vehicle (UAV) trackers. However, the state-of-the-art …
real-time nighttime unmanned aerial vehicle (UAV) trackers. However, the state-of-the-art …
Interframe saliency transformer and lightweight multidimensional attention network for real-time unmanned aerial vehicle tracking
A Deng, G Han, D Chen, T Ma, X Wei, Z Liu - Remote Sensing, 2023 - mdpi.com
UAV visual-object-tracking technology based on Siamese neural networks has great
scientific research and practical application value, and it is widely used in geological …
scientific research and practical application value, and it is widely used in geological …
Efficient Template Distinction Modeling Tracker with Temporal Contexts for Aerial Tracking
H Zhang, W Xing, H Lin, H Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, trackers based on neural networks have demonstrated excellent tracking
performance. Compared to general tracking tasks, aerial tracking tasks require more …
performance. Compared to general tracking tasks, aerial tracking tasks require more …
BSTrack: Robust UAV tracking using feature extraction of bilateral filters and sparse attention mechanism
K Wang, Z Wang, X Zhang, M Liu - Expert Systems with Applications, 2025 - Elsevier
In UAV tracking tasks, detailed object information and key features are critical for enhancing
tracking performance. The AlexNet feature extraction network relies predominantly on …
tracking performance. The AlexNet feature extraction network relies predominantly on …
GCAT: graph calibration attention transformer for robust object tracking
S Chen, X Hu, DH Wang, Y Yan, S Zhu - Neural Computing and …, 2024 - Springer
Recent Siamese trackers have taken advantage of transformers to achieve impressive
advancements. However, existing transformer trackers ignore considering the positional and …
advancements. However, existing transformer trackers ignore considering the positional and …
Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking
Y Liu, H Zuo, L Yao, K Lu, G Zheng, C Fu - arXiv preprint arXiv:2312.07884, 2023 - arxiv.org
Nighttime unmanned aerial vehicle (UAV) tracking has been facilitated with indispensable
plug-and-play low-light enhancers. However, the introduction of low-light enhancers …
plug-and-play low-light enhancers. However, the introduction of low-light enhancers …