Before revision:  And experiments show our proposed EANet boots up the facial parsing results. We also use post-process like grab cut to refine and merge the parsing results.
After revision:  To further obtain the finer edge results, we introduce edge attention loss that only compute cross entropy on the edges, it can effectively reduce the classification error around edge and get more smooth boundary. Benefiting from the edge information and edge attention loss, the proposed EANet achieves 86.16