2026
NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening
AAAI 2026technical
Child malnutrition remains a global crisis, yet existing screening methods are laborious and poorly scalable, hindering early intervention. In this work, we present NutriScreener, a retrieval-augmented, multi-pose graph attention network that combines CLIP-based visual embeddings, class-boosted know