PSEG improves human pose estimation via plug-and-play structural edge guidance
Researchers have developed PSEG (Plug-and-Play Structural Edge Guidance), a new framework designed to improve human pose estimation in crowded environments. By using edge-based guidance and semi-supervised learning, the model significantly reduces errors caused by occlusion and motion blur.
Why it matters
Advancements in computer vision and pose estimation are essential for improving robotics, surveillance, and human-computer interaction technologies.
Scientific Reports ( 2026 ) Cite this article
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