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)

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Evaluation Results from the Paper


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