#machine learning
Jan 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket
This work introduces a pioneering exploration of Self-Supervised Learning (SSL) within the SNN, and proposes a novel Spiking Self-Attention (SSA) and Spiking Transformer (Spikformer) that achieves 80+% accuracy on ImageNet.
Zhaokun Zhou, Kaiwei Che, Wei Fang et al.
· arXiv.org · 69 citations
· ⚡10