Is Maxout the same as max pooling?
They are almost identical:


  The second key reason that maxout performs well is
  that it improves the bagging style training phase of
  dropout. Note that the arguments in section 7 motivating
  the use of maxout also apply equally to rectified
  linear units (Salinas &amp; Abbott, 1996; Hahnloser, 1998;
  Glorot et al., 2011). The only difference between maxout
  and max pooling over a set of rectified linear units
  is that maxout does not include a 0 in the max.


Source: Maxout Networks.