SyRIP
Introduced by Huang et al. in Invariant Representation Learning for Infant Pose Estimation with Small Data
SyRIP is a hybrid synthetic and real infant pose (SyRIP) dataset with small yet diverse real infant images as well as generated synthetic infant poses and (2) a multi-stage invariant representation learning strategy that could transfer the knowledge from the adjacent domains of adult poses and synthetic infant images into our fine-tuned domain-adapted infant pose
Papers
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