Spiking Local Interaction and Adaptive Complementary Fusion for Spiking Transformer
Experiments show consistent improvements across image classification, event-based recognition, and semantic segmentation andAblation studies and qualitative analyses indicate that SSA and SLI capture complementary interaction patterns and that learnable fusion consistently outperforms fixed weighting.