Abstract:Image fusion methods and metrics for their evaluation have conventionally used pixel based or low level features. However, for many applications the aim of image fusion is to effectively combine the semantic content of the input images. This paper proposes a novel system for the semantic combination of visual content using pre-trained CNN network architectures. Our proposed semantic fusion is initiated through the fusion of the top layer feature map outputs (for each input image) through gradient updating of t… Show more
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