3 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…
cs.NE2024
RTFormer: Re-parameter TSBN Spiking Transformer
Hongzhi Wang, Xiubo Liang, Mengjian Li +1
The Spiking Neural Networks (SNNs), renowned for their bio-inspired operational mechanism and energy efficiency, mirror the human brain's neural activity. Yet, SNNs face challenges…