most citedLearning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

58 citations · 58 across the 1 of their papers we have counts for

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1 paper

cs.CV2017★ 58 cited

Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

Xiao Yang, Ersin Yumer, Paul Asente +3

We present an end-to-end, multimodal, fully convolutional network for extracting semantic structures from document images. We consider document semantic structure extraction as a p…