SiamHAS: Siamese Tracker with Hierarchical Attention Strategy for Aerial Tracking

doi:10.3390/mi14040893

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所

	SiamHAS: Siamese Tracker with Hierarchical Attention Strategy for Aerial Tracking
	F. Liu; J. Liu; Q. Chen; X. Wang and C. Liu
刊名	Micromachines
	2023
卷号	14 期号:4
ISSN号	2072666X
DOI	10.3390/mi14040893
英文摘要	For the Siamese network-based trackers utilizing modern deep feature extraction networks without taking full advantage of the different levels of features, tracking drift is prone to occur in aerial scenarios, such as target occlusion, scale variation, and low-resolution target tracking. Additionally, the accuracy is low in challenging scenarios of visual tracking, which is due to the imperfect utilization of features. To improve the performance of the existing Siamese tracker in the above-mentioned challenging scenes, we propose a Siamese tracker based on Transformer multi-level feature enhancement with a hierarchical attention strategy. The saliency of the extracted features is enhanced by the process of Transformer Multi-level Enhancement; the application of the hierarchical attention strategy makes the tracker adaptively notice the target region information and improve the tracking performance in challenging aerial scenarios. Meanwhile, we conducted extensive experiments and qualitative or quantitative discussions on UVA123, UAV20L, and OTB100 datasets. Finally, the experimental results show that our SiamHAS performs favorably against several state-of-the-art trackers in these challenging scenarios. © 2023 by the authors.
URL标识	查看原文
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/67688]
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	F. Liu,J. Liu,Q. Chen,et al. SiamHAS: Siamese Tracker with Hierarchical Attention Strategy for Aerial Tracking[J]. Micromachines,2023,14(4).
APA	F. Liu,J. Liu,Q. Chen,&X. Wang and C. Liu.(2023).SiamHAS: Siamese Tracker with Hierarchical Attention Strategy for Aerial Tracking.Micromachines,14(4).
MLA	F. Liu,et al."SiamHAS: Siamese Tracker with Hierarchical Attention Strategy for Aerial Tracking".Micromachines 14.4(2023).