Dilated Continuous Random Field for Semantic Segmentation
Xi Mo,Xiangyu Chen,Cuncong Zhong,Rui Li,Kaidong Li,Usman Sajid,Xi Mo,Xiangyu Chen,Cuncong Zhong,Rui Li,Kaidong Li,Usman Sajid
Mean field approximation methodology has laid the foundation of modern Continuous Random Field (CRF) based solutions for the refinement of semantic segmentation. In this paper, we propose to relax the hard constraint of mean field approximation - minimizing the energy term of each node from probabilistic graphical model, by a global optimization with the proposed dilated sparse convolution module ...
