2S-SGCN: A two-stage stratified graph convolutional network model for facial landmark detection on 3D data

Published: 01 Jan 2025, Last Modified: 10 Jan 2025Comput. Vis. Image Underst. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•2S-SGCN: a novel dual stage approach for 3D landmark detection.•Stratified GCN heatmap regressor.•MSE-over-mesh: FLD from the estimated heatmap using MSE on the original mesh.•State-of-the-art results on Facescape and Headspace datasets.•Evaluation of 2D-SGCN on DAD-3DH dataset for 3D FLD on 2D data.
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