2 papers
cs.CV2024
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
Rui-Jie Zhu, Malu Zhang, Qihang Zhao +3
Spiking Neural Networks (SNNs) are attracting widespread interest due to their biological plausibility, energy efficiency, and powerful spatio-temporal information representation a…
cs.LG2024
Tensor Decomposition Based Attention Module for Spiking Neural Networks
Haoyu Deng, Ruijie Zhu, Xuerui Qiu +3
The attention mechanism has been proven to be an effective way to improve spiking neural network (SNN). However, based on the fact that the current SNN input data flow is split int…