Toward Reliable Infant Pose Estimation: A Training-Dynamics Approach to Noisy Annotation Detection

Excerpt

arXiv:2610.06423v1 Announce Type: cross Abstract: Spontaneous movement analysis in preterm infants relies increasingly on markerless pose estimation (PE) to derive clinically relevant motion biomarkers directly from video recordings. Training accurate infant PE models requires large sets of manually annotated keypoints, and human annotation is inherently prone to error. Noisy keypoints (i.e., keypoints mislocalized with respect to their true anatomical position) are especially problematic in thi