Self-Correction for Human Parsing

22 Oct 2019Peike LiYunqiu XuYunchao WeiYi Yang

Labeling pixel-level masks for fine-grained semantic segmentation tasks, e.g. human parsing, remains a challenging task. The ambiguous boundary between different semantic parts and those categories with similar appearance usually are confusing, leading to unexpected noises in ground truth masks... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Semantic Segmentation LIP val SCHP (ResNet-101) mIoU 59.36% # 1
Human Part Segmentation PASCAL-Person-Part SCHP mIoU 71.46 # 2

Methods used in the Paper