Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer

CVPR 2018 Hao-Shu FangGuansong LuXiaolin FangJianwen XieYu-Wing TaiCewu Lu

Human body part parsing, or human semantic part segmentation, is fundamental to many computer vision tasks. In conventional semantic segmentation methods, the ground truth segmentations are provided, and fully convolutional networks (FCN) are trained in an end-to-end scheme... (read more)

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Results from the Paper


#4 best model for Human Part Segmentation on PASCAL-Person-Part (using extra training data)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK USES EXTRA
TRAINING DATA
RESULT LEADERBOARD
Human Part Segmentation PASCAL-Person-Part WSHP mIoU 67.60 # 4

Methods used in the Paper


METHOD TYPE
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