A YOLO keypoint model trained on 37k+ public images plus 1k neonatal frames achieves SOTA NME and low failure rates for 68-point neonatal landmark detection in clinical conditions.
Pixel-in-pixel net: Towards efficient facial land- mark detection in the wild.International Journal of Computer Vision, 129(12):3174–3194, Dec 2021
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NeoLoc-68: End-to-end 68-point neonatal facial landmark localisation in neonatal clinical environments
A YOLO keypoint model trained on 37k+ public images plus 1k neonatal frames achieves SOTA NME and low failure rates for 68-point neonatal landmark detection in clinical conditions.