A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks

15 Mar 2017Satoshi TsutsuiDavid Crandall

A key problem in automatic analysis and understanding of scientific papers is to extract semantic information from non-textual paper components like figures, diagrams, tables, etc. Much of this work requires a very first preprocessing step: decomposing compound multi-part figures into individual subfigures... (read more)

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