A semi-supervised 2D human pose estimation method that adds EMA-based reviewer networks, multi-level feature supervision, and a keypoint-mix augmentation to improve accuracy with few labels.
Skeleton-based action recognition through contrasting two-stream spatial-temporal networks,
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A New Teacher-Reviewer-Student Framework for Semi-supervised 2D Human Pose Estimation
A semi-supervised 2D human pose estimation method that adds EMA-based reviewer networks, multi-level feature supervision, and a keypoint-mix augmentation to improve accuracy with few labels.