作者: Adnan Ahmed Rafique , Yazeed Yasin Ghadi , Suliman A Alsuhibany , Samia Allaoua Chelloug , Ahmad Jalal
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摘要: Latest advancements in vision technology offer an evident impact on multi-object recognition and scene understanding. Such scene-understanding task is a demanding part of several technologies, like augmented reality-based scene integration, robotic navigation, autonomous driving, and tourist guide. Incorporating visual information in contextually unified segments, convolution neural networks-based approaches will significantly mitigate the clutter, which is usual in classical frameworks during scene understanding. In this paper …