Short videos have many applications on fashion trends, hot spots, street interviews, public education, and creative advertising. We propose an Edge-Aware Network(EANet) that uses edge information to refine the segmentation edge. 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.
翻译:短视频有许多关于时尚趋势、热点、街头采访、公共教育和创造性广告的应用。 我们提议建立一个边缘-Aware网络(EANet),利用边缘信息来完善分割边缘。 实验还展示了我们提议的EANet在面部分析结果上的表现。 我们还使用后处理方法,比如抓取剪切来完善和合并分割结果。