PCCS improves semi-supervised medical image segmentation by contrasting prototypes built from signed distance maps, with uncertainty weighting and a teacher-student prototype update.
Deep high-resolution representation learning for human pose estimation
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Prototype Contrastive Consistency Learning for Semi-Supervised Medical Image Segmentation
PCCS improves semi-supervised medical image segmentation by contrasting prototypes built from signed distance maps, with uncertainty weighting and a teacher-student prototype update.