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.

翻译：本技术报告简要介绍了BUPT-CASIA团队在CVPR 2021第三届人物上下文(PIC)研讨会与挑战赛短视频面部解析赛道中的解决方案。面部解析因其广泛的应用潜力近年来备受关注。总体而言，面部解析与人体解析在任务设定、数据特性、类别数量等方面具有诸多共性。因此，本工作将最先进的人体解析方法应用于面部解析任务，探索二者间的异同。我们的提交方案以86.84%的得分获得该挑战赛第二名。