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cs.CV2023★ 1 cited
SparseSpikformer: A Co-Design Framework for Token and Weight Pruning in Spiking Transformer
Yue Liu, Shanlin Xiao, Bo Li +1
As the third-generation neural network, the Spiking Neural Network (SNN) has the advantages of low power consumption and high energy efficiency, making it suitable for implementati…
cs.CV2023
Enabling energy-Efficient object detection with surrogate gradient descent in spiking neural networks
Jilong Luo, Shanlin Xiao, Yinsheng Chen +1
Spiking Neural Networks (SNNs) are a biologically plausible neural network model with significant advantages in both event-driven processing and spatio-temporal information process…