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SBMVTrack: Spike-Budgeted Multi-View Learning for Energy-Efficient UAV Tracking
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 and lack explicit optimization of actual spike acti
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