Face Alignment On Aflw 19

NME_diag (%, Full)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	NME_diag (%, Full)
pre-training-strategies-and-datasets-for	1.55
towards-accurate-facial-landmark-detection-1	1.37
unconstrained-face-alignment-via-cascaded	2.72
atf-towards-robust-face-alignment-via	1.55
look-at-boundary-a-boundary-aware-face	1.25
general-facial-representation-learning-in-a	0.943
style-aggregated-network-for-facial-landmark	1.91
wing-loss-for-robust-facial-landmark	1.65
pixel-in-pixel-net-towards-efficient-facial	1.42
face-alignment-by-coarse-to-fine-shape-1	3.92
subpixel-heatmap-regression-for-facial	1.31
laplace-landmark-localization	-
robust-face-alignment-by-multi-order-high	1.38
dynamic-attention-controlled-cascaded-shape	2.21
luvli-face-alignment-estimating-landmarks	1.39
direct-shape-regression-networks-for-end-to	1.86
high-resolution-representations-for-labeling	1.57
fiducial-focus-augmentation-for-facial	0.92
anchorface-an-anchor-based-facial-landmark	1.56
look-at-boundary-a-boundary-aware-face	1.85
3fabrec-fast-few-shot-face-alignment-by	-
face-alignment-with-kernel-density-deep	-
exploring-stylegan-latent-space-for-face	1.02