A agree with Paul in the observation that domain specific knowledge was used VERY heavily in this paper.

In particular, the assumption of symmetry in left/right limbs is very domain specific and honestly isn't always true. As an example, consider a hockey goalie who has different padding on each arm.

Also, It seems like some more accuracy could be gained from feedback from the pose to the segmentation as long as you're doing heavily domain specific tricks. There are many times in their sample images where the segmentation could be greatly enhanced by examining the recovered pose. As an example, in figure 10 on the second row, the missing portion of the torso and leg could be found by just having a min-width associated with the stickman's middle, and upper leg.

In any case, this was a fun paper, so I don't mean to poke at it too much.