Red de interpretable basada en codificación dispersa regularizada con $\ell _{0}$ para la fusión de imágenes

Resumen

Este estudio presenta FNet, una red interpretable para la fusión de imágenes multimodales (MMIF), que utiliza un novedoso enfoque de desarrollo profundo para la codificación dispersa. FNet fusiona eficazmente imágenes de diferentes sensores, mejorando tareas posteriores como la detección de objetos.

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