arXiv cs.NE
· Papers
Rethinking Attention Locality in Spiking Transformers
arXiv:2608.08541v1 Announce Type: cross Abstract: Spiking Transformers provide a promising paradigm for efficient visual processing with spike-driven computation, yet their Softmax-free Spiking Self-Attention (SSA) struggles to establish spatially localized token interactions. Although existing locality-enhanced SSA me