Before revision:  We show that for tasks of classification, segmentation and non-rigid registration , surface CNNs using only raw input signals achieve superior performances than previous models using sophisticated input features  .
After revision:  We show that for tasks of classification, segmentation and registration on deformable geometric domains, as well as semantic scene segmentation on rigid domains, PFCNNs achieve robust and superior performances without using sophisticated input features .