most citedAttention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms

3 citations · 5 across the 3 of their papers we have counts for

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cs.CV2024

Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification

Qingyu Wang, Duzhen Zhang, Tilelin Zhang +1

Energy-efficient spikformer has been proposed by integrating the biologically plausible spiking neural network (SNN) and artificial Transformer, whereby the Spiking Self-Attention…

cs.CV2023★ 3 cited

Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms

Qingyu Wang, Duzhen Zhang, Tielin Zhang +1

By integrating the self-attention capability and the biological properties of Spiking Neural Networks (SNNs), Spikformer applies the flourishing Transformer architecture to SNNs de…