Instance-level Human Parsing via Part Grouping Network

ECCV 2018 Ke GongXiaodan LiangYicheng LiYimin ChenMing YangLiang Lin

Instance-level human parsing towards real-world human analysis scenarios is still under-explored due to the absence of sufficient data resources and technical difficulty in parsing multiple instances in a single pass. Several related works all follow the "parsing-by-detection" pipeline that heavily relies on separately trained detection models to localize instances and then performs human parsing for each instance sequentially... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Human Part Segmentation CIHP PGN + ResNet101 Mean IoU 55.8 # 2

Methods used in the Paper