Edge-deployed railway safety monitoring demands pixel-perfect semantic segmentation under extreme constraints: detection failures threaten operational safety, yet trackside devices must process ...
The outstanding results achieved by large language models (LLMs) 1,2 and by their even more recent multi-modal variants 3, rely on attention-based neural architectures with several analogies to the ...
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