Attention Spiking Neural Networks - Supplementary Materials Requirements Python 3.7.4 PyTorch 1.7.1 tqdm 4.56.0 numpy 1.19.2 Instructions 1. DVS128 Gesture Download DVS128 Gesture and put the downloaded dataset to /MA_SNN/DVSGestures/data, then run /MA_SNN/DVSGestures/data/DVS_Gesture.py. MA...
为了减少推理所需的时间步骤,我们扩展了混合SNN训练策略,支持基于SL的SNN训练。所提出的方法只需要全局目标参数密度,而不像ADMM,我们需要为模型的每一层提供超参数。 In summary, we provide the following contributions: We propose the first attention-guided non-iterative compression (AGC) technique for deep ...
To leverage the temporal potential of SNNs, we propose a self-attention-based temporal-channel joint attention SNN (STCA-SNN) with end-to-end training, which infers attention weights along both temporal and channel dimensions concurrently. It models global temporal and channel in...
[TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks" - ridgerchu/TCJA