  This is a very short technical report, which introduces the solution of the
Team BUPT-CASIA for Short-video Face Parsing Track of The 3rd Person in Context
(PIC) Workshop and Challenge at CVPR 2021.
  Face parsing has recently attracted increasing interest due to its numerous
application potentials. Generally speaking, it has a lot in common with human
parsing, such as task setting, data characteristics, number of categories and
so on. Therefore, this work applies state-of-the-art human parsing method to
face parsing task to explore the similarities and differences between them. Our
submission achieves 86.84% score and wins the 2nd place in the challenge.
