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|---|---|---|---|---|---|
Facial Recognition and Modelling > Face Alignment
|
300W
|
BarrelNet (ResNet-101)
|
https://arxiv.org/abs/2105.13150v2
|
NME_inter-ocular (%, Challenge)
|
4.6
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
GRegNet + LRefNet
|
http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html
|
NME_inter-ocular (%, Full)
|
3.12
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
GRegNet + LRefNet
|
http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html
|
NME_inter-ocular (%, Common)
|
2.71
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
GRegNet + LRefNet
|
http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html
|
NME_inter-ocular (%, Challenge)
|
4.78
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
GRegNet + LRefNet
|
http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html
|
NME_inter-pupil (%, Full)
|
4.37
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
GRegNet + LRefNet
|
http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html
|
NME_inter-pupil (%, Common)
|
3.76
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
GRegNet + LRefNet
|
http://openaccess.thecvf.com/content_CVPRW_2019/html/AMFG/Su_Efficient_and_Accurate_Face_Alignment_by_Global_Regression_and_Cascaded_CVPRW_2019_paper.html
|
NME_inter-pupil (%, Challenge)
|
6.89
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3DDE
|
https://arxiv.org/abs/1902.01831v2
|
NME_inter-ocular (%, Full)
|
3.13
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3DDE
|
https://arxiv.org/abs/1902.01831v2
|
NME_inter-ocular (%, Common)
|
2.69
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3DDE
|
https://arxiv.org/abs/1902.01831v2
|
NME_inter-ocular (%, Challenge)
|
4.92
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3DDE
|
https://arxiv.org/abs/1902.01831v2
|
NME_inter-pupil (%, Full)
|
4.39
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3DDE
|
https://arxiv.org/abs/1902.01831v2
|
NME_inter-pupil (%, Common)
|
3.73
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3DDE
|
https://arxiv.org/abs/1902.01831v2
|
NME_inter-pupil (%, Challenge)
|
7.10
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ATF
|
https://dl.acm.org/doi/10.1145/3394171.3414037
|
NME_inter-ocular (%, Full)
|
3.17
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ATF
|
https://dl.acm.org/doi/10.1145/3394171.3414037
|
NME_inter-ocular (%, Common)
|
2.75
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ATF
|
https://dl.acm.org/doi/10.1145/3394171.3414037
|
NME_inter-ocular (%, Challenge)
|
4.89
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SLPT
|
https://arxiv.org/abs/2203.06541v2
|
NME_inter-ocular (%, Full)
|
3.17
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SLPT
|
https://arxiv.org/abs/2203.06541v2
|
NME_inter-ocular (%, Common)
|
2.75
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SLPT
|
https://arxiv.org/abs/2203.06541v2
|
NME_inter-ocular (%, Challenge)
|
4.90
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PIPNet (ResNet-101)
|
https://arxiv.org/abs/2003.03771v3
|
NME_inter-ocular (%, Full)
|
3.19
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PIPNet (ResNet-101)
|
https://arxiv.org/abs/2003.03771v3
|
NME_inter-ocular (%, Common)
|
2.78
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
PIPNet (ResNet-101)
|
https://arxiv.org/abs/2003.03771v3
|
NME_inter-ocular (%, Challenge)
|
4.89
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DCFE
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html
|
NME_inter-ocular (%, Full)
|
3.24
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DCFE
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html
|
NME_inter-ocular (%, Common)
|
2.76
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DCFE
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html
|
NME_inter-ocular (%, Challenge)
|
5.22
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DCFE
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html
|
NME_inter-pupil (%, Full)
|
4.55
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DCFE
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html
|
NME_inter-pupil (%, Common)
|
3.83
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DCFE
|
http://openaccess.thecvf.com/content_ECCV_2018/html/Roberto_Valle_A_Deeply-initialized_Coarse-to-fine_ECCV_2018_paper.html
|
NME_inter-pupil (%, Challenge)
|
7.54
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HG-HSLE
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Zou_Learning_Robust_Facial_Landmark_Detection_via_Hierarchical_Structured_Ensemble_ICCV_2019_paper.html
|
NME_inter-ocular (%, Full)
|
3.28
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HG-HSLE
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Zou_Learning_Robust_Facial_Landmark_Detection_via_Hierarchical_Structured_Ensemble_ICCV_2019_paper.html
|
NME_inter-ocular (%, Common)
|
2.85
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HG-HSLE
|
http://openaccess.thecvf.com/content_ICCV_2019/html/Zou_Learning_Robust_Facial_Landmark_Detection_via_Hierarchical_Structured_Ensemble_ICCV_2019_paper.html
|
NME_inter-ocular (%, Challenge)
|
5.03
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SCC
|
https://arxiv.org/abs/2006.11697v1
|
NME_inter-ocular (%, Full)
|
3.28
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SCC
|
https://arxiv.org/abs/2006.11697v1
|
NME_inter-ocular (%, Common)
|
2.88
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SCC
|
https://arxiv.org/abs/2006.11697v1
|
NME_inter-ocular (%, Challenge)
|
4.93
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CHR2C
|
https://doi.org/10.1016/j.patrec.2019.10.012
|
NME_inter-ocular (%, Full)
|
3.3
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CHR2C
|
https://doi.org/10.1016/j.patrec.2019.10.012
|
NME_inter-ocular (%, Common)
|
2.85
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CHR2C
|
https://doi.org/10.1016/j.patrec.2019.10.012
|
NME_inter-ocular (%, Challenge)
|
5.15
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CHR2C
|
https://doi.org/10.1016/j.patrec.2019.10.012
|
NME_inter-pupil (%, Full)
|
4.64
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CHR2C
|
https://doi.org/10.1016/j.patrec.2019.10.012
|
NME_inter-pupil (%, Common)
|
3.96
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CHR2C
|
https://doi.org/10.1016/j.patrec.2019.10.012
|
NME_inter-pupil (%, Challenge)
|
7.44
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CNN-CRF
|
https://arxiv.org/abs/2010.09035v1
|
NME_inter-ocular (%, Full)
|
3.30
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CNN-CRF
|
https://arxiv.org/abs/2010.09035v1
|
NME_inter-ocular (%, Common)
|
2.93
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CNN-CRF
|
https://arxiv.org/abs/2010.09035v1
|
NME_inter-ocular (%, Challenge)
|
4.84
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CNN-CRF
|
https://arxiv.org/abs/2010.09035v1
|
NME_inter-pupil (%, Full)
|
4.63
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CNN-CRF
|
https://arxiv.org/abs/2010.09035v1
|
NME_inter-pupil (%, Common)
|
4.06
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
CNN-CRF
|
https://arxiv.org/abs/2010.09035v1
|
NME_inter-pupil (%, Challenge)
|
6.98
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HR-Net
|
http://arxiv.org/abs/1904.04514v1
|
NME_inter-ocular (%, Full)
|
3.32
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HR-Net
|
http://arxiv.org/abs/1904.04514v1
|
NME_inter-ocular (%, Common)
|
2.87
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HR-Net
|
http://arxiv.org/abs/1904.04514v1
|
NME_inter-ocular (%, Challenge)
|
5.15
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HRNet
|
https://arxiv.org/abs/1908.07919v2
|
NME_inter-ocular (%, Full)
|
3.32
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HRNet
|
https://arxiv.org/abs/1908.07919v2
|
NME_inter-ocular (%, Common)
|
2.87
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
HRNet
|
https://arxiv.org/abs/1908.07919v2
|
NME_inter-ocular (%, Challenge)
|
5.15
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DeCaFA
|
http://arxiv.org/abs/1904.02549v1
|
NME_inter-ocular (%, Full)
|
3.39
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DeCaFA
|
http://arxiv.org/abs/1904.02549v1
|
NME_inter-ocular (%, Common)
|
2.93
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DeCaFA
|
http://arxiv.org/abs/1904.02549v1
|
NME_inter-ocular (%, Challenge)
|
5.26
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FASE
|
https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1
|
NME_inter-ocular (%, Full)
|
3.42
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FASE
|
https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1
|
NME_inter-ocular (%, Common)
|
2.97
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
FASE
|
https://hal.archives-ouvertes.fr/INRIA/hal-03778322v1
|
NME_inter-ocular (%, Challenge)
|
5.30
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DAN-Menpo
|
http://arxiv.org/abs/1706.01789v2
|
NME_inter-ocular (%, Full)
|
3.44
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DAN-Menpo
|
http://arxiv.org/abs/1706.01789v2
|
NME_inter-ocular (%, Common)
|
3.09
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DAN-Menpo
|
http://arxiv.org/abs/1706.01789v2
|
NME_inter-ocular (%, Challenge)
|
4.88
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DAN-Menpo
|
http://arxiv.org/abs/1706.01789v2
|
NME_inter-pupil (%, Full)
|
4.83
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DAN-Menpo
|
http://arxiv.org/abs/1706.01789v2
|
NME_inter-pupil (%, Common)
|
4.29
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
DAN-Menpo
|
http://arxiv.org/abs/1706.01789v2
|
NME_inter-pupil (%, Challenge)
|
7.05
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LAB
|
http://arxiv.org/abs/1805.10483v1
|
NME_inter-ocular (%, Full)
|
3.49
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LAB
|
http://arxiv.org/abs/1805.10483v1
|
NME_inter-ocular (%, Common)
|
2.98
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LAB
|
http://arxiv.org/abs/1805.10483v1
|
NME_inter-ocular (%, Challenge)
|
5.19
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LAB
|
http://arxiv.org/abs/1805.10483v1
|
NME_inter-pupil (%, Full)
|
4.12
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LAB
|
http://arxiv.org/abs/1805.10483v1
|
NME_inter-pupil (%, Common)
|
3.42
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LAB
|
http://arxiv.org/abs/1805.10483v1
|
NME_inter-pupil (%, Challenge)
|
6.98
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LDDMM-Face
|
https://arxiv.org/abs/2108.00690v1
|
NME_inter-ocular (%, Full)
|
3.53
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LDDMM-Face
|
https://arxiv.org/abs/2108.00690v1
|
NME_inter-ocular (%, Common)
|
3.07
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LDDMM-Face
|
https://arxiv.org/abs/2108.00690v1
|
NME_inter-ocular (%, Challenge)
|
5.4
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AnchorFace
|
https://arxiv.org/abs/2007.03221v3
|
NME_inter-ocular (%, Full)
|
3.72
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AnchorFace
|
https://arxiv.org/abs/2007.03221v3
|
NME_inter-ocular (%, Common)
|
3.12
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AnchorFace
|
https://arxiv.org/abs/2007.03221v3
|
NME_inter-ocular (%, Challenge)
|
6.19
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
EF-3ACR
|
https://arxiv.org/abs/2203.15835v2
|
NME_inter-ocular (%, Full)
|
3.75
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
EF-3ACR
|
https://arxiv.org/abs/2203.15835v2
|
NME_inter-ocular (%, Common)
|
3.36
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
EF-3ACR
|
https://arxiv.org/abs/2203.15835v2
|
NME_inter-ocular (%, Challenge)
|
5.36
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3FabRec
|
https://arxiv.org/abs/1911.10448v2
|
NME_inter-ocular (%, Full)
|
3.82
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3FabRec
|
https://arxiv.org/abs/1911.10448v2
|
NME_inter-ocular (%, Common)
|
3.36
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
3FabRec
|
https://arxiv.org/abs/1911.10448v2
|
NME_inter-ocular (%, Challenge)
|
5.74
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AVS
|
https://arxiv.org/abs/1908.06440v1
|
NME_inter-ocular (%, Full)
|
3.86
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AVS
|
https://arxiv.org/abs/1908.06440v1
|
NME_inter-ocular (%, Common)
|
3.21
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
AVS
|
https://arxiv.org/abs/1908.06440v1
|
NME_inter-ocular (%, Challenge)
|
6.49
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SCAF
|
https://link.springer.com/chapter/10.1007/978-3-031-06427-2_36
|
NME_inter-ocular (%, Full)
|
3.95
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SCAF
|
https://link.springer.com/chapter/10.1007/978-3-031-06427-2_36
|
NME_inter-ocular (%, Common)
|
3.48
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SCAF
|
https://link.springer.com/chapter/10.1007/978-3-031-06427-2_36
|
NME_inter-ocular (%, Challenge)
|
5.83
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SAN
|
http://arxiv.org/abs/1803.04108v4
|
NME_inter-ocular (%, Full)
|
3.98
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SAN
|
http://arxiv.org/abs/1803.04108v4
|
NME_inter-ocular (%, Common)
|
3.34
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
SAN
|
http://arxiv.org/abs/1803.04108v4
|
NME_inter-ocular (%, Challenge)
|
6.60
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LaplaceKL
|
https://arxiv.org/abs/1903.11633v2
|
NME_inter-ocular (%, Full)
|
4.01
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LaplaceKL
|
https://arxiv.org/abs/1903.11633v2
|
NME_inter-ocular (%, Common)
|
3.28
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
LaplaceKL
|
https://arxiv.org/abs/1903.11633v2
|
NME_inter-ocular (%, Challenge)
|
7.01
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
MobileNetV2+KD-Loss
|
https://arxiv.org/abs/2111.07047v1
|
NME_inter-ocular (%, Full)
|
4.06
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
MobileNetV2+KD-Loss
|
https://arxiv.org/abs/2111.07047v1
|
NME_inter-ocular (%, Common)
|
3.56
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
MobileNetV2+KD-Loss
|
https://arxiv.org/abs/2111.07047v1
|
NME_inter-ocular (%, Challenge)
|
6.13
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ODN
|
http://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Robust_Facial_Landmark_Detection_via_Occlusion-Adaptive_Deep_Networks_CVPR_2019_paper.html
|
NME_inter-ocular (%, Full)
|
4.17
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ODN
|
http://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Robust_Facial_Landmark_Detection_via_Occlusion-Adaptive_Deep_Networks_CVPR_2019_paper.html
|
NME_inter-ocular (%, Common)
|
3.56
|
Facial Recognition and Modelling > Face Alignment
|
300W
|
ODN
|
http://openaccess.thecvf.com/content_CVPR_2019/html/Zhu_Robust_Facial_Landmark_Detection_via_Occlusion-Adaptive_Deep_Networks_CVPR_2019_paper.html
|
NME_inter-ocular (%, Challenge)
|
6.67
|
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