2 papers
cs.NE2026
Spike-HTR: Spiking Neural Transformer for Handwritten Text Recognition
Xiubo Liang, Jinxing Han, Yuke Li +3
Handwritten Text Recognition (HTR) is computationally imbalanced in two ways: most image pixels are background, and many width-axis sequence positions are blank-dominated. This cre…
cs.NE2026
SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks
Xiubo Liang, Jinxing Han, Yuke Li +3
Spiking Neural Networks (SNNs) enable event-driven computation with sparse activations, but building multimodal Transformers on SNNs is hindered by unstable training in deep spikin…