Hierarchical PointNet models on MediaPipe 3D face meshes classify 107 HPO facial terms (mean AUROC 0.75) with cascading landmark elimination, performing better at parent nodes than rare leaves and transferring unevenly to unseen disorders.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Hierarchical Classification via Cascading Feature Elimination: Application to Human Phenotype Ontology-Aligned Facial Phenotyping (FaceMesh2HPO)
Hierarchical PointNet models on MediaPipe 3D face meshes classify 107 HPO facial terms (mean AUROC 0.75) with cascading landmark elimination, performing better at parent nodes than rare leaves and transferring unevenly to unseen disorders.