SBMVTrack: Spike-Budgeted Multi-View Learning for Energy-Efficient UAV Tracking
arXiv:2609.25503v1 Announce Type: new Abstract: 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 trackers typically use spike firing rates only for energy evaluation an…
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- 2026-09-23 04:00 · arXiv cs.CV
SBMVTrack: Spike-Budgeted Multi-View Learning for Energy-Efficient UAV Tracking