2020
Boosting Semantic Human Matting With Coarse Annotations
CVPR 2020oral
Semantic human matting aims to estimate the per-pixel opacity of the foreground human regions. It is quite challenging that usually requires user interactive trimaps and plenty of high quality annotated data. Annotating such kind of data is labor intensive and requires great skills beyond normal use…