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|---|---|---|---|---|---|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
ADNet
|
https://arxiv.org/abs/2105.10697v1
|
AUC@10 (inter-ocular)
|
60.22
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
ADNet
|
https://arxiv.org/abs/2105.10697v1
|
FR@10 (inter-ocular)
|
2.72
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
SPLT
|
https://arxiv.org/abs/2203.06541v2
|
NME (inter-ocular)
|
4.14
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
SPLT
|
https://arxiv.org/abs/2203.06541v2
|
AUC@10 (inter-ocular)
|
59.50
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
SPLT
|
https://arxiv.org/abs/2203.06541v2
|
FR@10 (inter-ocular)
|
2.76
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
AnchoFace
|
https://arxiv.org/abs/2007.03221v3
|
NME (inter-ocular)
|
4.32
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
AnchoFace
|
https://arxiv.org/abs/2007.03221v3
|
AUC@10 (inter-ocular)
|
57.69
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
AnchoFace
|
https://arxiv.org/abs/2007.03221v3
|
FR@10 (inter-ocular)
|
2.96
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
Awing
|
https://arxiv.org/abs/1904.07399v3
|
NME (inter-ocular)
|
4.36
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
Awing
|
https://arxiv.org/abs/1904.07399v3
|
AUC@10 (inter-ocular)
|
57.19
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
Awing
|
https://arxiv.org/abs/1904.07399v3
|
FR@10 (inter-ocular)
|
2.84
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
NME (inter-ocular)
|
4.37
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
AUC@10 (inter-ocular)
|
57.7
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
FR@10 (inter-ocular)
|
3.12
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
ATF
|
https://dl.acm.org/doi/10.1145/3394171.3414037
|
NME (inter-ocular)
|
4.49
|
Facial Recognition and Modelling > Face Alignment
|
WFW (Extra Data)
|
VGG-F
|
https://arxiv.org/abs/2103.16554v2
|
NME (inter-ocular)
|
4.57
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
MNN+OR (reannotated)
|
https://arxiv.org/abs/2202.02299v1
|
Balanced NME (2D Sparse Alignment)
|
2.58%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
SynergyNet-Reannotated
|
https://arxiv.org/abs/2110.09772v3
|
Balanced NME (2D Sparse Alignment)
|
2.65%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
JVCR
|
https://openreview.net/pdf?id=gafjGfv8uR
|
Balanced NME (2D Sparse Alignment)
|
3.31%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
SynergyNet
|
https://arxiv.org/abs/2110.09772v3
|
Balanced NME (2D Sparse Alignment)
|
3.41%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
SynergyNet
|
https://arxiv.org/abs/2110.09772v3
|
Mean NME(3D Dense Alignment)
|
4.06%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
SADRNet
|
https://arxiv.org/abs/2106.03021v1
|
Balanced NME (2D Sparse Alignment)
|
3.46%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
SADRNet
|
https://arxiv.org/abs/2106.03021v1
|
Mean NME(3D Dense Alignment)
|
4.02%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
3DDFA_V2
|
https://arxiv.org/abs/2009.09960v2
|
Balanced NME (2D Sparse Alignment)
|
3.51%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
3DDFA_V2
|
https://arxiv.org/abs/2009.09960v2
|
Mean NME(3D Dense Alignment)
|
4.18%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
2DASL
|
https://arxiv.org/abs/1903.09359v2
|
Balanced NME (2D Sparse Alignment)
|
3.53%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
OpNet
|
https://arxiv.org/abs/2407.05357v3
|
Balanced NME (2D Sparse Alignment)
|
3.55%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
PRN
|
http://arxiv.org/abs/1803.07835v1
|
Balanced NME (2D Sparse Alignment)
|
3.62%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
PRN
|
http://arxiv.org/abs/1803.07835v1
|
Mean NME(3D Dense Alignment)
|
4.40%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
3DDFA
|
http://arxiv.org/abs/1804.01005v1
|
Balanced NME (2D Sparse Alignment)
|
3.79%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
3DDFA
|
http://arxiv.org/abs/1804.01005v1
|
Mean NME(3D Dense Alignment)
|
6.55%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
3DSTN
|
http://arxiv.org/abs/1707.05653v2
|
Balanced NME (2D Sparse Alignment)
|
4.49%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
DeFA
|
http://arxiv.org/abs/1709.01442v1
|
Balanced NME (2D Sparse Alignment)
|
4.50%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
DeFA
|
http://arxiv.org/abs/1709.01442v1
|
Mean NME(3D Dense Alignment)
|
6.04%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
3DDFA + SDM
|
http://arxiv.org/abs/1511.07212v1
|
Balanced NME (2D Sparse Alignment)
|
4.94%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW2000-3D
|
DSFNet-f
|
https://arxiv.org/abs/2305.11522v1
|
Mean NME(3D Dense Alignment)
|
3.8%
|
Facial Recognition and Modelling > Face Alignment
|
300-VW (C)
|
2D-FAN
|
http://arxiv.org/abs/1703.07332v3
|
AUC0.07
|
64.1%
|
Facial Recognition and Modelling > Face Alignment
|
COFW-68 (300WLP)
|
SH-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME (box)
|
2.47
|
Facial Recognition and Modelling > Face Alignment
|
COFW-68 (300WLP)
|
SH-FAN
|
https://arxiv.org/abs/2111.02360v1
|
AUC@7
|
64.9
|
Facial Recognition and Modelling > Face Alignment
|
COFW-68 (300WLP)
|
LUVLI
|
https://arxiv.org/abs/2004.02980v1
|
NME (box)
|
2.57
|
Facial Recognition and Modelling > Face Alignment
|
COFW-68 (300WLP)
|
LUVLI
|
https://arxiv.org/abs/2004.02980v1
|
AUC@7
|
63.4
|
Facial Recognition and Modelling > Face Alignment
|
COFW-68 (300WLP)
|
KDN
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html
|
NME (box)
|
2.73
|
Facial Recognition and Modelling > Face Alignment
|
COFW-68 (300WLP)
|
KDN
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html
|
AUC@7
|
60.1
|
Facial Recognition and Modelling > Face Alignment
|
COFW-68 (300WLP)
|
2D-FAN
|
http://arxiv.org/abs/1703.07332v3
|
NME (box)
|
2.95
|
Facial Recognition and Modelling > Face Alignment
|
COFW-68 (300WLP)
|
2D-FAN
|
http://arxiv.org/abs/1703.07332v3
|
AUC@7
|
57.5
|
Facial Recognition and Modelling > Face Alignment
|
300W (Common)
|
SPIGA
|
https://arxiv.org/abs/2210.07233v1
|
NME
|
2.59
|
Facial Recognition and Modelling > Face Alignment
|
300W (Common)
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
NME
|
2.76
|
Facial Recognition and Modelling > Face Alignment
|
Menpo
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
NME (box)
|
2.04
|
Facial Recognition and Modelling > Face Alignment
|
Menpo
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
AUC (box)
|
71.9
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-PIFA (34 points)
|
Face alignment
|
https://www.adrianbulat.com/downloads/BMVC16/cale_bmvc16.pdf
|
NME
|
2.96%
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
SH-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME (inter-ocular)
|
2.94
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
SH-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME (bbox)
|
2.04
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
SH-FAN
|
https://arxiv.org/abs/2111.02360v1
|
AUC@7 (bbox)
|
71.1
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
LUVLI
|
https://arxiv.org/abs/2004.02980v1
|
NME (bbox)
|
2.10
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
LUVLI
|
https://arxiv.org/abs/2004.02980v1
|
AUC@7 (bbox)
|
70.2
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
KDN
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html
|
NME (bbox)
|
2.21
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
KDN
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html
|
AUC@7 (bbox)
|
68.3
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
2D-FAN
|
http://arxiv.org/abs/1703.07332v3
|
NME (bbox)
|
2.32
|
Facial Recognition and Modelling > Face Alignment
|
300W Split 2 (300W-LP)
|
2D-FAN
|
http://arxiv.org/abs/1703.07332v3
|
AUC@7 (bbox)
|
66.5
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
FiFA
|
https://arxiv.org/abs/2402.15044v1
|
NME (inter-ocular)
|
2.96
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
SH-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME (inter-ocular)
|
3.02%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
DTLD+
|
https://arxiv.org/abs/2208.10808v1
|
NME (inter-ocular)
|
3.02%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
PIPNet (ResNet-101)
|
https://arxiv.org/abs/2003.03771v3
|
NME (inter-ocular)
|
3.08%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
BarrelNet (ResNet-101)
|
https://arxiv.org/abs/2105.13150v2
|
NME (inter-ocular)
|
3.1%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
STAR
|
https://arxiv.org/abs/2306.02763v1
|
NME (inter-ocular)
|
3.21%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
STAR
|
https://arxiv.org/abs/2306.02763v1
|
NME (inter-pupil)
|
4.62
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
HIH
|
https://arxiv.org/abs/2104.03100v2
|
NME (inter-ocular)
|
3.21%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
HIH w. MSE(2 stack)
|
https://openaccess.thecvf.com/content/ICCV2021W/MFR/html/Lan_Revisting_Quantization_Error_in_Face_Alignment_ICCVW_2021_paper.html
|
NME (inter-ocular)
|
3.28%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
SLPT
|
https://arxiv.org/abs/2203.06541v2
|
NME (inter-ocular)
|
3.32
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
SLPT
|
https://arxiv.org/abs/2203.06541v2
|
NME (inter-pupil)
|
4.79
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
Ours (VGG-F)
|
https://arxiv.org/abs/2103.16554v2
|
NME (inter-ocular)
|
3.32
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
ATF
|
https://dl.acm.org/doi/10.1145/3394171.3414037
|
NME (inter-ocular)
|
3.32%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
HRNet
|
http://arxiv.org/abs/1904.04514v1
|
NME (inter-ocular)
|
3.45%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
HRNet
|
https://arxiv.org/abs/1908.07919v2
|
NME (inter-ocular)
|
3.45
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
EF-3ACR
|
https://arxiv.org/abs/2203.15835v2
|
NME (inter-ocular)
|
3.47%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
SCC
|
https://arxiv.org/abs/2006.11697v1
|
NME (inter-ocular)
|
3.63%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
PropNet
|
https://arxiv.org/abs/2006.14308v1
|
NME (inter-ocular)
|
3.71%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
EfficientNet
|
https://arxiv.org/abs/2111.07047v1
|
NME (inter-ocular)
|
3.81%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
LAB (w/ B)
|
http://arxiv.org/abs/1805.10483v1
|
NME (inter-ocular)
|
3.92%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
MobileNetV2+KD-Loss
|
https://arxiv.org/abs/2111.07047v1
|
NME (inter-ocular)
|
4.11%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
Wing (Feng et al., 2018)
|
http://arxiv.org/abs/1711.06753v5
|
NME (inter-ocular)
|
5.07
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
LAB
|
http://arxiv.org/abs/1805.10483v1
|
NME (inter-ocular)
|
5.58%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
PCD-CNNCVPR 18
|
http://arxiv.org/abs/1802.06713v3
|
NME (inter-ocular)
|
5.77%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
MNN+OR (Inter-pupils Norm)
|
https://arxiv.org/abs/2202.02299v1
|
NME (inter-pupil)
|
5.04%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
MNN+OR (Inter-pupils Norm)
|
https://arxiv.org/abs/2202.02299v1
|
Recall at 80% precision (Landmarks Visibility)
|
72.12
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
3DDE (Inter-pupil Norm)
|
https://arxiv.org/abs/1902.01831v2
|
NME (inter-pupil)
|
5.11%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
3DDE (Inter-pupil Norm)
|
https://arxiv.org/abs/1902.01831v2
|
Recall at 80% precision (Landmarks Visibility)
|
63.89
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
CHR2C (Inter-pupils Norm)
|
https://doi.org/10.1016/j.patrec.2019.10.012
|
NME (inter-pupil)
|
5.09%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
DCFE
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html
|
NME (inter-pupil)
|
5.27%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
DenseU-Net + Dual Transformer
|
http://arxiv.org/abs/1812.01936v1
|
NME (inter-pupil)
|
5.55%
|
Facial Recognition and Modelling > Face Alignment
|
COFW
|
MNN (Inter-pupil Norm)
|
https://arxiv.org/abs/2202.02299v1
|
NME (inter-pupil)
|
5.65%
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FiFA
|
https://arxiv.org/abs/2402.15044v1
|
NME_diag (%, Full)
|
0.92
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FiFA
|
https://arxiv.org/abs/2402.15044v1
|
NME_diag (%, Frontal)
|
0.80
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FiFA
|
https://arxiv.org/abs/2402.15044v1
|
NME_box (%, Full)
|
1.31
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FiFA
|
https://arxiv.org/abs/2402.15044v1
|
AUC_box@0.07 (%, Full)
|
81.8
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_diag (%, Full)
|
0.943
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_diag (%, Frontal)
|
0.821
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_box (%, Full)
|
1.334
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
AUC_box@0.07 (%, Full)
|
81.3
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FASE
|
https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1
|
NME_diag (%, Full)
|
1.02
|
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