Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers

Benchmark Model Rank Results
event-data-classification-on-cifar10-dvsM-ViT + α-SSA (α=0.5)–Accuracy: 82.24
image-classification-on-cifar-10M-ViT + α-SSA (α=0.3)–Percentage correct: 96.15
image-classification-on-cifar-100M-ViT + α-SSA (α=0.3)–Percentage correct: 81.08
image-classification-on-imagenetα-SSA-Swin-10-512–Top 1 Accuracy: 80.62%