Vision SmolMamba adds spike-guided spatio-temporal token pruning to a bidirectional spiking state-space backbone, cutting estimated energy by at least 1.5x versus prior spiking Transformers and Spiking Mamba variants on ImageNet-1K and event-based datasets while keeping competitive accuracy.
Sim- plified state space layers for sequence modeling,
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Vision SmolMamba: Spike-Guided Token Pruning for Energy-Efficient Spiking State-Space Vision Models
Vision SmolMamba adds spike-guided spatio-temporal token pruning to a bidirectional spiking state-space backbone, cutting estimated energy by at least 1.5x versus prior spiking Transformers and Spiking Mamba variants on ImageNet-1K and event-based datasets while keeping competitive accuracy.