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I am trying to implement this paper

https://ieeexplore.ieee.org/document/7828014

Here they have mentioned text local (edge) and global regions as supervisory information. Side output is generated and then this supervisory information is introduced as shown in the image. I cannot understand how supervisory information is introduced. How to train through side output and how to make the network recognize the features. I am trying a keras implementation. Any relevant article or similar projects will be of great help.

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