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.
Capture the moment: High-speed imaging with spiking cameras through short-term plasticity
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.