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20192026
most citedEDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness

1 citations · 1 across the 4 of their papers we have counts for

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cs.CV2026

RailVQA: A Benchmark and Framework for Efficient Interpretable Visual Cognition in Automatic Train Operation

Sen Zhang, Runmei Li, Shizhuang Deng +7

As Automatic Train Operation (ATO) advances toward GoA4 and beyond, it increasingly depends on efficient, reliable cab-view visual perception and decision-oriented inference to ens…