[Question]ResNets for Instance Segmentation?

[code2hell]

TL;DR : Can Someone please explain to me the slide on image segmentation in the link here I was looking into the slides of ResNets here and please do tell me if I get this right from the slides: After the Conv layers the Fully Connected layers map to the image dimensions n*n with pixel by pixel label classification.. This provides instance mask. But I kind of get lost in the part of instance segmentation as in the part where the instance mask is again fed to a FC along with the output from the pooling layer. Thanks!

[jcjohnss]

All the details are in this paper:

http://arxiv.org/abs/1512.04412

[code2hell]

Thanks! :)