2 papers
cs.CV2026
QB-LIF: Learnable-Scale Quantized Burst Neurons for Efficient SNNs
Dewei Bai, Hongxiang Peng, Jiajun Mei +4
Binary spike coding enables sparse and event-driven computation in spiking neural networks (SNNs), yet its 1-bit-per-timestep representation fundamentally limits information throug…
cs.CV2026
Vision SmolMamba: Spike-Guided Token Pruning for Energy-Efficient Spiking State-Space Vision Models
Dewei Bai, Hongxiang Peng, Yunyun Zeng +3
Spiking Transformers have shown strong potential for long-range visual modeling through spike-driven self-attention. However, their quadratic token interactions remain fundamentall…