Fourier or Wavelet bases as counterpart self-attention in spikformer for efficient visual classification

Benchmark Model Rank Results
image-classification-on-cifar-10FWformer-4-384 (2D-WT-Haar, MS)–Percentage correct: 95.6
image-classification-on-cifar-100FWformer-4-384 (2D-FFT, MS)–Percentage correct: 78.3