2 papers
cs.CV2026
SBMVTrack: Spike-Budgeted Multi-View Learning for Energy-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 energy-efficient UAV visual tracking. However, existing SNN-based…
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…