  This is a short technical report introducing the solution of Team Rat for
Short-video Parsing Face Parsing Track of The 3rd Person in Context (PIC)
Workshop and Challenge at CVPR 2021.
  In this report, we propose an Edge-Aware Network (EANet) that uses edge
information to refine the segmentation edge. 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\% accuracy in the Short-video
Face Parsing track of the 3rd Person in Context (PIC) Workshop and Challenge,
ranked the third place.
