Synthetic humans improve multi-person pose estimation mainly through extra occlusion; masking their losses beats using their labels, and a teacher-guided sampler adds a small extra gain.
https://github.com/matterport/Mask RCNN (2017)
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Learning to Train with Synthetic Humans
Synthetic humans improve multi-person pose estimation mainly through extra occlusion; masking their losses beats using their labels, and a teacher-guided sampler adds a small extra gain.