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cs.CV2026
SBMVTrack: Spike-Budgeted Multi-View Learning for Power-Efficient UAV Tracking
Pengzhi Zhong, Jiwei Mo, Haolun Li +4
With sparse and event-driven computation, spiking neural networks show great potential for achieving accurate and power-efficient UAV visual tracking. However, existing SNN-based t…
cs.NE2026
SpikingMOT: A Spike-Driven Multi-Object Tracker
Yiding Sun, Xiangyang Yang, Dongxu Zhang +7
Multi-object tracking (MOT) plays a fundamental role in visual perception, where accurate trajectory prediction is essential for reliable target association under complex motion pa…
cs.CV2026
STATrack: A Target-Aware Fully Spiking Neural Network for Efficient UAV Tracking
Pengzhi Zhong, Jiwei Mo, Dan Zeng +2
Spiking Neural Networks (SNNs), characterized by their event-driven computation and low power consumption, have shown great potential for energy-efficient visual tracking on unmann…