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

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Zhang, Sen, Li, Runmei, Deng, Shizhuang, Zheng, Zhichao, Zhang, Yuhe, Li, Jiani, Zhang, Kailun, Zhang, Tao, Wu, Wenjun, Wang, Qunbo
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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