March 8, 2024, 5:45 a.m. | Xiaoying Yuan, Tingfa Xu, Xincong Liu, Ying Wang, Haolin Qin, Yuqiang Fang, Jianan Li

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.04363v1 Announce Type: new
Abstract: In the realm of unmanned aerial vehicle (UAV) tracking, Siamese-based approaches have gained traction due to their optimal balance between efficiency and precision. However, UAV scenarios often present challenges such as insufficient sampling resolution, fast motion and small objects with limited feature information. As a result, temporal context in UAV tracking tasks plays a pivotal role in target location, overshadowing the target's precise features. In this paper, we introduce MT-Track, a streamlined and efficient multi-step …

abstract aerial arxiv balance challenges context cs.cv efficiency feature however information modeling objects precision sampling small temporal tracking type unmanned aerial vehicle

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