Preprint
Aug 2026
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.
Dongcheng Zhao, Sicheng Shen, Zhenyu Yang et al.
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