Shape Preserving Facial Landmarks with Graph Attention Networks

Benchmark Model Rank Results
face-alignment-on-300wSPIGA#5NME_inter-ocular (%, Full): 2.99NME_inter-ocular (%, Common): 2.59
face-alignment-on-300w-split-2SPIGA#1NME (box): 2.03AUC@7 (box): 71.0NME (inter-ocular): 3.43
face-alignment-on-cofw-68SPIGA#1NME (inter-ocular): 3.93NME (box): 2.52AUC@7 (box): 64.1
face-alignment-on-wflwSPIGA#3NME (inter-ocular): 4.06AUC@10 (inter-ocular): 60.56
face-alignment-on-wfw-extra-dataSPIGA#2NME (inter-ocular): 4.06AUC@10 (inter-ocular): 60.56
facial-landmark-detection-on-300wSPIGA (Inter-ocular Norm)#2NME: 2.99
pose-estimation-on-300w-fullSPIGA#1MAE mean (º): 1.29MAE yaw (º): 1.41MAE pitch (º): 1.70