Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation

ECCV 2018 Xuecheng NieJiashi FengShuicheng Yan

This paper presents a novel Mutual Learning to Adapt model (MuLA) for joint human parsing and pose estimation. It effectively exploits mutual benefits from both tasks and simultaneously boosts their performance... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Semantic Segmentation LIP val MuLA (ResNet-101) mIoU 49.30% # 7