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⌀ |
|---|---|---|---|---|---|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FASE
|
https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1
|
NME_diag (%, Frontal)
|
0.90
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FASE
|
https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1
|
NME_box (%, Full)
|
1.45
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
FASE
|
https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1
|
AUC_box@0.07 (%, Full)
|
79.1
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LAB (w/ B)
|
http://arxiv.org/abs/1805.10483v1
|
NME_diag (%, Full)
|
1.25
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LAB (w/ B)
|
http://arxiv.org/abs/1805.10483v1
|
NME_diag (%, Frontal)
|
1.14
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
SHR-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME_diag (%, Full)
|
1.31
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
SHR-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME_diag (%, Frontal)
|
1.12
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
SHR-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME_box (%, Full)
|
2.14
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
SHR-FAN
|
https://arxiv.org/abs/2111.02360v1
|
AUC_box@0.07 (%, Full)
|
70.0
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
DTLD+
|
https://arxiv.org/abs/2208.10808v1
|
NME_diag (%, Full)
|
1.37
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
MHHN
|
https://arxiv.org/abs/2010.08722v1
|
NME_diag (%, Full)
|
1.38
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
MHHN
|
https://arxiv.org/abs/2010.08722v1
|
NME_diag (%, Frontal)
|
1.19
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
NME_diag (%, Full)
|
1.39
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
NME_diag (%, Frontal)
|
1.19
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
NME_box (%, Full)
|
2.28
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LUVLi
|
https://arxiv.org/abs/2004.02980v1
|
AUC_box@0.07 (%, Full)
|
68.0
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
PIPNet (ResNet-101)
|
https://arxiv.org/abs/2003.03771v3
|
NME_diag (%, Full)
|
1.42
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
VGG-F
|
https://arxiv.org/abs/2103.16554v2
|
NME_diag (%, Full)
|
1.55
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
ATF
|
https://dl.acm.org/doi/10.1145/3394171.3414037
|
NME_diag (%, Full)
|
1.55
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
AnchorFace
|
https://arxiv.org/abs/2007.03221v3
|
NME_diag (%, Full)
|
1.56
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
AnchorFace
|
https://arxiv.org/abs/2007.03221v3
|
NME_diag (%, Frontal)
|
1.38
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
HR-Net
|
http://arxiv.org/abs/1904.04514v1
|
NME_diag (%, Full)
|
1.57
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
HR-Net
|
http://arxiv.org/abs/1904.04514v1
|
NME_diag (%, Frontal)
|
1.46
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
Wing
|
http://arxiv.org/abs/1711.06753v5
|
NME_diag (%, Full)
|
1.65
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
Wing
|
http://arxiv.org/abs/1711.06753v5
|
NME_box (%, Full)
|
3.56
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
Wing
|
http://arxiv.org/abs/1711.06753v5
|
AUC_box@0.07 (%, Full)
|
53.5
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LAB (w/o B)
|
http://arxiv.org/abs/1805.10483v1
|
NME_diag (%, Full)
|
1.85
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LAB (w/o B)
|
http://arxiv.org/abs/1805.10483v1
|
NME_diag (%, Frontal)
|
1.62
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
DSRN
|
http://openaccess.thecvf.com/content_cvpr_2018/html/Miao_Direct_Shape_Regression_CVPR_2018_paper.html
|
NME_diag (%, Full)
|
1.86
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
SAN
|
http://arxiv.org/abs/1803.04108v4
|
NME_diag (%, Full)
|
1.91
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
SAN
|
http://arxiv.org/abs/1803.04108v4
|
NME_diag (%, Frontal)
|
1.85
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
SAN
|
http://arxiv.org/abs/1803.04108v4
|
NME_box (%, Full)
|
4.04
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
SAN
|
http://arxiv.org/abs/1803.04108v4
|
AUC_box@0.07 (%, Full)
|
54.0
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
DAC-CSR
|
http://arxiv.org/abs/1611.05396v2
|
NME_diag (%, Full)
|
2.21
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
DAC-CSR
|
http://arxiv.org/abs/1611.05396v2
|
NME_diag (%, Frontal)
|
1.81
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
CCL
|
http://openaccess.thecvf.com/content_cvpr_2016/html/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.html
|
NME_diag (%, Full)
|
2.72
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
CCL
|
http://openaccess.thecvf.com/content_cvpr_2016/html/Zhu_Unconstrained_Face_Alignment_CVPR_2016_paper.html
|
NME_diag (%, Frontal)
|
2.17
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
CFSS
|
https://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Zhu_Face_Alignment_by_2015_CVPR_paper.html
|
NME_diag (%, Full)
|
3.92
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
CFSS
|
https://www.cv-foundation.org/openaccess/content_cvpr_2015/html/Zhu_Face_Alignment_by_2015_CVPR_paper.html
|
NME_diag (%, Frontal)
|
2.68
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
3FabRec
|
https://arxiv.org/abs/1911.10448v2
|
NME_box (%, Full)
|
1.84
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
LLL
|
https://arxiv.org/abs/1903.11633v2
|
NME_box (%, Full)
|
1.97
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
KDN
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html
|
NME_box (%, Full)
|
2.80
|
Facial Recognition and Modelling > Face Alignment
|
AFLW-19
|
KDN
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Face_Alignment_With_Kernel_Density_Deep_Neural_Network_ICCV_2019_paper.html
|
AUC_box@0.07 (%, Full)
|
60.3
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
STAR
|
https://arxiv.org/abs/2306.02763v1
|
NME_inter-ocular (%, Full)
|
2.87
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
STAR
|
https://arxiv.org/abs/2306.02763v1
|
NME_inter-ocular (%, Common)
|
2.52
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
STAR
|
https://arxiv.org/abs/2306.02763v1
|
NME_inter-ocular (%, Challenge)
|
4.32
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
STAR
|
https://arxiv.org/abs/2306.02763v1
|
NME_inter-pupil (%, Full)
|
4.03
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
STAR
|
https://arxiv.org/abs/2306.02763v1
|
NME_inter-pupil (%, Common)
|
3.5
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
STAR
|
https://arxiv.org/abs/2306.02763v1
|
NME_inter-pupil (%, Challenge)
|
6.22
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ADNet-FE5
|
https://arxiv.org/abs/2212.09525v1
|
NME_inter-ocular (%, Full)
|
2.87
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 64)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-ocular (%, Full)
|
2.88
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 64)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-ocular (%, Common)
|
2.50
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 64)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-ocular (%, Challenge)
|
4.42
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 64)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-pupil (%, Full)
|
4.05
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 64)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-pupil (%, Common)
|
3.46
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 64)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-pupil (%, Challenge)
|
6.38
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FiFA
|
https://arxiv.org/abs/2402.15044v1
|
NME_inter-ocular (%, Full)
|
2.89
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FiFA
|
https://arxiv.org/abs/2402.15044v1
|
NME_inter-ocular (%, Common)
|
2.51
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FiFA
|
https://arxiv.org/abs/2402.15044v1
|
NME_inter-ocular (%, Challenge)
|
4.47
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ADNet
|
https://arxiv.org/abs/2109.05721v2
|
NME_inter-ocular (%, Full)
|
2.93
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ADNet
|
https://arxiv.org/abs/2109.05721v2
|
NME_inter-ocular (%, Common)
|
2.53
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ADNet
|
https://arxiv.org/abs/2109.05721v2
|
NME_inter-ocular (%, Challenge)
|
4.58
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ADNet
|
https://arxiv.org/abs/2109.05721v2
|
NME_inter-pupil (%, Full)
|
4.08
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ADNet
|
https://arxiv.org/abs/2109.05721v2
|
NME_inter-pupil (%, Common)
|
3.51
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ADNet
|
https://arxiv.org/abs/2109.05721v2
|
NME_inter-pupil (%, Challenge)
|
6.47
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-ocular (%, Full)
|
2.93
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-ocular (%, Common)
|
2.56
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-ocular (%, Challenge)
|
4.45
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-pupil (%, Full)
|
4.11
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-pupil (%, Common)
|
3.53
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FaRL-B (epoch 16)
|
https://arxiv.org/abs/2112.03109v3
|
NME_inter-pupil (%, Challenge)
|
6.42
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PropNet
|
https://arxiv.org/abs/2006.14308v1
|
NME_inter-ocular (%, Full)
|
2.93
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PropNet
|
https://arxiv.org/abs/2006.14308v1
|
NME_inter-ocular (%, Common)
|
2.67
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PropNet
|
https://arxiv.org/abs/2006.14308v1
|
NME_inter-ocular (%, Challenge)
|
3.99
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PropNet
|
https://arxiv.org/abs/2006.14308v1
|
NME_inter-pupil (%, Full)
|
4.1
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PropNet
|
https://arxiv.org/abs/2006.14308v1
|
NME_inter-pupil (%, Common)
|
3.7
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PropNet
|
https://arxiv.org/abs/2006.14308v1
|
NME_inter-pupil (%, Challenge)
|
5.75
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SHR-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME_inter-ocular (%, Full)
|
2.94
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SHR-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME_inter-ocular (%, Common)
|
2.61
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SHR-FAN
|
https://arxiv.org/abs/2111.02360v1
|
NME_inter-ocular (%, Challenge)
|
4.13
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DTLD+
|
https://arxiv.org/abs/2208.10808v1
|
NME_inter-ocular (%, Full)
|
2.96
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DTLD+
|
https://arxiv.org/abs/2208.10808v1
|
NME_inter-ocular (%, Common)
|
2.6
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DTLD+
|
https://arxiv.org/abs/2208.10808v1
|
NME_inter-ocular (%, Challenge)
|
4.48
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SPIGA
|
https://arxiv.org/abs/2210.07233v1
|
NME_inter-ocular (%, Full)
|
2.99
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SPIGA
|
https://arxiv.org/abs/2210.07233v1
|
NME_inter-ocular (%, Common)
|
2.59
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SPIGA
|
https://arxiv.org/abs/2210.07233v1
|
NME_inter-ocular (%, Challenge)
|
4.66
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SPIGA
|
https://arxiv.org/abs/2210.07233v1
|
NME_inter-pupil (%, Full)
|
4.20
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SPIGA
|
https://arxiv.org/abs/2210.07233v1
|
NME_inter-pupil (%, Common)
|
3.59
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SPIGA
|
https://arxiv.org/abs/2210.07233v1
|
NME_inter-pupil (%, Challenge)
|
6.73
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AWing
|
https://arxiv.org/abs/1904.07399v3
|
NME_inter-ocular (%, Full)
|
3.07
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AWing
|
https://arxiv.org/abs/1904.07399v3
|
NME_inter-ocular (%, Common)
|
2.72
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AWing
|
https://arxiv.org/abs/1904.07399v3
|
NME_inter-ocular (%, Challenge)
|
4.52
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AWing
|
https://arxiv.org/abs/1904.07399v3
|
NME_inter-pupil (%, Full)
|
4.31
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AWing
|
https://arxiv.org/abs/1904.07399v3
|
NME_inter-pupil (%, Common)
|
3.77
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AWing
|
https://arxiv.org/abs/1904.07399v3
|
NME_inter-pupil (%, Challenge)
|
6.52
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HIH
|
https://arxiv.org/abs/2104.03100v2
|
NME_inter-ocular (%, Full)
|
3.09
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HIH
|
https://arxiv.org/abs/2104.03100v2
|
NME_inter-ocular (%, Common)
|
2.65
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HIH
|
https://arxiv.org/abs/2104.03100v2
|
NME_inter-ocular (%, Challenge)
|
4.89
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
BarrelNet (ResNet-101)
|
https://arxiv.org/abs/2105.13150v2
|
NME_inter-ocular (%, Full)
|
3.09
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
BarrelNet (ResNet-101)
|
https://arxiv.org/abs/2105.13150v2
|
NME_inter-ocular (%, Common)
|
2.73
|
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