I'm working on a research problem where I need to perform classification for coarse prediction in a feature space and then fine grained regression for getting more precise values. I know that this way of regression should work. I also will essentially deal with feature maps.

I am thinking of using a 'stacked hourglass network'. Do I need to identify this by sheer experimentation or can someone intuitively remove some possibilities saying a particular architecture may not be suitable for my problem.

I found stacked hourglass network to upscale and downscale essentially the heatmaps but now am confused with changing the model for sequential classification and regression task. Any clues would be welcomed.

Stacked Hourglass Networks for Human Pose Estimation

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    $\begingroup$ welcome to the site! the link attached is broken, please check and update. Thank you $\endgroup$ – Toros91 Mar 9 '18 at 8:05

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