Video Experimental Relacionado

Updated: Jan 23, 2026

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on: May 7, 2019

9.6K

Redes de Desacoplamiento de Video para Segmentación de Objetos de Video Precisa, Eficiente, Generalizable y Robusta

Jisheng Dang, Huicheng Zheng, Yulan Guo

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |January 21, 2026
    PubMed
    Resumen

    Este estudio presenta la Red de Desacoplamiento de Video (VDN) para la segmentación de objetos de video (VOS), mejorando la eficiencia y la precisión al descomponer los fotogramas en elementos de escena, movimiento e instancia. VDN mejora la captura y actualización de la información espacio-temporal para un rendimiento superior de VOS.

    Palabras clave:
    segmentación de objetos de videored de desacoplamiento de videoaprendizaje profundovisión por computadoraredes neuronales convolucionales

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