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Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
You Wu, Yongxin Li, Mengyuan Liu +6
Transformer-based models have improved visual tracking, but most still cannot run in real time on resource-limited devices, especially for unmanned aerial vehicle (UAV) tracking. T…
MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum Learning
You Wu, Xiangyang Yang, Xucheng Wang +3
Harnessing low-light enhancement and domain adaptation, nighttime UAV tracking has made substantial strides. However, over-reliance on image enhancement, limited high-quality night…
Learning Motion Blur Robust Vision Transformers for Real-Time UAV Tracking
You Wu, Xucheng Wang, Dan Zeng +4
Unmanned aerial vehicle (UAV) tracking is critical for applications like surveillance, search-and-rescue, and autonomous navigation. However, the high-speed movement of UAVs and ta…
Adaptively Bypassing Vision Transformer Blocks for Efficient Visual Tracking
Xiangyang Yang, Dan Zeng, Xucheng Wang +4
Empowered by transformer-based models, visual tracking has advanced significantly. However, the slow speed of current trackers limits their applicability on devices with constraine…