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Models/SPIGA

SPIGA

Reported on 151 benchmarks across 7 tasks · 1 paper · 56 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision58 results

Pose Estimationon300W (Full)
MAE mean (º)· 2022-10-13
1.29
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose Estimationon300W (Full)
MAE pitch (º)· 2022-10-13
1.7
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose Estimationon300W (Full)
MAE roll (º)· 2022-10-13
0.77
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose Estimationon300W (Full)
MAE yaw (º)· 2022-10-13
1.41
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose EstimationonMERL-RAV
MAE mean (º)· 2022-10-13
2.39
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose EstimationonMERL-RAV
MAE pitch (º)· 2022-10-13
2.24
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose EstimationonMERL-RAV
MAE roll (º)· 2022-10-13
1.71
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose EstimationonMERL-RAV
MAE yaw (º)· 2022-10-13
3.23
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose EstimationonWFLW
MAE mean (º)· 2022-10-13
1.52
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose EstimationonWFLW
MAE pitch (º)· 2022-10-13
1.86
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose EstimationonWFLW
MAE roll (º)· 2022-10-13
0.93
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Pose EstimationonWFLW
MAE yaw (º)· 2022-10-13
1.78
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononMERL-RAV
AUC@7 (box) · 2022-10-13
78.47
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononCOFW-68
AUC@7 (box)· 2022-10-13
64.1
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W Split 2
AUC@7 (box)· 2022-10-13
71
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W Split 2
AUC@8 (inter-ocular)· 2022-10-13
57.27
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononCOFW-68
AUC@7 (box)· 2022-10-13
64.1
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononMERL-RAV
AUC@7 (box) · 2022-10-13
78.47
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W Split 2
AUC@7 (box)· 2022-10-13
71
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W Split 2
AUC@8 (inter-ocular)· 2022-10-13
57.27
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononMERL-RAV
NME (box)· 2022-10-13
1.51
best: 1.61 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononCOFW-68
NME (box)· 2022-10-13
2.52
best: 2.75 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononCOFW-68
NME (inter-ocular)· 2022-10-13
3.93
best: 5.06 (HRNetV2-W18)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W
NME_inter-ocular (%, Challenge)· 2022-10-13
4.66
best: 8.2 (ASMNet)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W
NME_inter-ocular (%, Common)· 2022-10-13
2.59
best: 5.09 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W
NME_inter-ocular (%, Full)· 2022-10-13
2.99
best: 5.63 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W
NME_inter-pupil (%, Challenge)· 2022-10-13
6.73
best: 10.59 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W
NME_inter-pupil (%, Common)· 2022-10-13
3.59
best: 6.15 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W
NME_inter-pupil (%, Full)· 2022-10-13
4.2
best: 7.01 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W (Common)
NME· 2022-10-13
2.59
best: 2.76 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononWFW (Extra Data)
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.1 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononWFW (Extra Data)
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 3.12 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononWFW (Extra Data)
NME (inter-ocular)· 2022-10-13
4.06
best: 4.57 (VGG-F)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W Split 2
FR@8 (inter-ocular)· 2022-10-13
0.67
best: 2.67 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W Split 2
NME (box)· 2022-10-13
2.03
best: 2.49 (KDN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face Reconstructionon300W Split 2
NME (inter-ocular)· 2022-10-13
3.43
best: 4.3 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononWFLW
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.81 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononWFLW
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 35.24 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Face ReconstructiononWFLW
NME (inter-ocular)· 2022-10-13
4.06
best: 11.13 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononWFW (Extra Data)
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.1 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononWFW (Extra Data)
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 3.12 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononWFW (Extra Data)
NME (inter-ocular)· 2022-10-13
4.06
best: 4.57 (VGG-F)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W (Common)
NME· 2022-10-13
2.59
best: 2.76 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W
NME_inter-ocular (%, Challenge)· 2022-10-13
4.66
best: 8.2 (ASMNet)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W
NME_inter-ocular (%, Common)· 2022-10-13
2.59
best: 5.09 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W
NME_inter-ocular (%, Full)· 2022-10-13
2.99
best: 5.63 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W
NME_inter-pupil (%, Challenge)· 2022-10-13
6.73
best: 10.59 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W
NME_inter-pupil (%, Common)· 2022-10-13
3.59
best: 6.15 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W
NME_inter-pupil (%, Full)· 2022-10-13
4.2
best: 7.01 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononCOFW-68
NME (box)· 2022-10-13
2.52
best: 2.75 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononCOFW-68
NME (inter-ocular)· 2022-10-13
3.93
best: 5.06 (HRNetV2-W18)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononMERL-RAV
NME (box)· 2022-10-13
1.51
best: 1.61 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononWFLW
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.81 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononWFLW
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 35.24 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ReconstructiononWFLW
NME (inter-ocular)· 2022-10-13
4.06
best: 11.13 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W Split 2
FR@8 (inter-ocular)· 2022-10-13
0.67
best: 2.67 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W Split 2
NME (box)· 2022-10-13
2.03
best: 2.49 (KDN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Reconstructionon300W Split 2
NME (inter-ocular)· 2022-10-13
3.43
best: 4.3 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233

Methodology35 results

3Don300W (Full)
MAE mean (º)· 2022-10-13
1.29
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W (Full)
MAE pitch (º)· 2022-10-13
1.7
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W (Full)
MAE roll (º)· 2022-10-13
0.77
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W (Full)
MAE yaw (º)· 2022-10-13
1.41
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonMERL-RAV
MAE mean (º)· 2022-10-13
2.39
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonMERL-RAV
MAE pitch (º)· 2022-10-13
2.24
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonMERL-RAV
MAE roll (º)· 2022-10-13
1.71
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonMERL-RAV
MAE yaw (º)· 2022-10-13
3.23
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFLW
MAE mean (º)· 2022-10-13
1.52
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFLW
MAE pitch (º)· 2022-10-13
1.86
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFLW
MAE roll (º)· 2022-10-13
0.93
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFLW
MAE yaw (º)· 2022-10-13
1.78
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonMERL-RAV
AUC@7 (box) · 2022-10-13
78.47
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonCOFW-68
AUC@7 (box)· 2022-10-13
64.1
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W Split 2
AUC@7 (box)· 2022-10-13
71
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W Split 2
AUC@8 (inter-ocular)· 2022-10-13
57.27
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonMERL-RAV
NME (box)· 2022-10-13
1.51
best: 1.61 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonCOFW-68
NME (box)· 2022-10-13
2.52
best: 2.75 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonCOFW-68
NME (inter-ocular)· 2022-10-13
3.93
best: 5.06 (HRNetV2-W18)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W
NME_inter-ocular (%, Challenge)· 2022-10-13
4.66
best: 8.2 (ASMNet)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W
NME_inter-ocular (%, Common)· 2022-10-13
2.59
best: 5.09 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W
NME_inter-ocular (%, Full)· 2022-10-13
2.99
best: 5.63 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W
NME_inter-pupil (%, Challenge)· 2022-10-13
6.73
best: 10.59 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W
NME_inter-pupil (%, Common)· 2022-10-13
3.59
best: 6.15 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W
NME_inter-pupil (%, Full)· 2022-10-13
4.2
best: 7.01 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W (Common)
NME· 2022-10-13
2.59
best: 2.76 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFW (Extra Data)
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.1 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFW (Extra Data)
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 3.12 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFW (Extra Data)
NME (inter-ocular)· 2022-10-13
4.06
best: 4.57 (VGG-F)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W Split 2
FR@8 (inter-ocular)· 2022-10-13
0.67
best: 2.67 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W Split 2
NME (box)· 2022-10-13
2.03
best: 2.49 (KDN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3Don300W Split 2
NME (inter-ocular)· 2022-10-13
3.43
best: 4.3 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFLW
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.81 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFLW
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 35.24 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3DonWFLW
NME (inter-ocular)· 2022-10-13
4.06
best: 11.13 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233

Music23 results

Facial Recognition and ModellingonCOFW-68
AUC@7 (box)· 2022-10-13
64.1
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonMERL-RAV
AUC@7 (box) · 2022-10-13
78.47
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W Split 2
AUC@7 (box)· 2022-10-13
71
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W Split 2
AUC@8 (inter-ocular)· 2022-10-13
57.27
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonWFW (Extra Data)
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.1 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonWFW (Extra Data)
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 3.12 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonWFW (Extra Data)
NME (inter-ocular)· 2022-10-13
4.06
best: 4.57 (VGG-F)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W (Common)
NME· 2022-10-13
2.59
best: 2.76 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W
NME_inter-ocular (%, Challenge)· 2022-10-13
4.66
best: 8.2 (ASMNet)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W
NME_inter-ocular (%, Common)· 2022-10-13
2.59
best: 5.09 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W
NME_inter-ocular (%, Full)· 2022-10-13
2.99
best: 5.63 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W
NME_inter-pupil (%, Challenge)· 2022-10-13
6.73
best: 10.59 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W
NME_inter-pupil (%, Common)· 2022-10-13
3.59
best: 6.15 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W
NME_inter-pupil (%, Full)· 2022-10-13
4.2
best: 7.01 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonCOFW-68
NME (box)· 2022-10-13
2.52
best: 2.75 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonCOFW-68
NME (inter-ocular)· 2022-10-13
3.93
best: 5.06 (HRNetV2-W18)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonMERL-RAV
NME (box)· 2022-10-13
1.51
best: 1.61 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonWFLW
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.81 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonWFLW
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 35.24 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and ModellingonWFLW
NME (inter-ocular)· 2022-10-13
4.06
best: 11.13 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W Split 2
FR@8 (inter-ocular)· 2022-10-13
0.67
best: 2.67 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W Split 2
NME (box)· 2022-10-13
2.03
best: 2.49 (KDN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
Facial Recognition and Modellingon300W Split 2
NME (inter-ocular)· 2022-10-13
3.43
best: 4.3 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233

Medical23 results

3D Face ModellingonCOFW-68
AUC@7 (box)· 2022-10-13
64.1
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonMERL-RAV
AUC@7 (box) · 2022-10-13
78.47
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W Split 2
AUC@7 (box)· 2022-10-13
71
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W Split 2
AUC@8 (inter-ocular)· 2022-10-13
57.27
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonWFW (Extra Data)
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.1 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonWFW (Extra Data)
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 3.12 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonWFW (Extra Data)
NME (inter-ocular)· 2022-10-13
4.06
best: 4.57 (VGG-F)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W (Common)
NME· 2022-10-13
2.59
best: 2.76 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W
NME_inter-ocular (%, Challenge)· 2022-10-13
4.66
best: 8.2 (ASMNet)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W
NME_inter-ocular (%, Common)· 2022-10-13
2.59
best: 5.09 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W
NME_inter-ocular (%, Full)· 2022-10-13
2.99
best: 5.63 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W
NME_inter-pupil (%, Challenge)· 2022-10-13
6.73
best: 10.59 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W
NME_inter-pupil (%, Common)· 2022-10-13
3.59
best: 6.15 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W
NME_inter-pupil (%, Full)· 2022-10-13
4.2
best: 7.01 (3DDFA)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonCOFW-68
NME (box)· 2022-10-13
2.52
best: 2.75 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonCOFW-68
NME (inter-ocular)· 2022-10-13
3.93
best: 5.06 (HRNetV2-W18)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonMERL-RAV
NME (box)· 2022-10-13
1.51
best: 1.61 (LUVLi)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonWFLW
AUC@10 (inter-ocular)· 2022-10-13
60.56
best: 63.81 (SH-FAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonWFLW
FR@10 (inter-ocular)· 2022-10-13
2.08
best: 35.24 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face ModellingonWFLW
NME (inter-ocular)· 2022-10-13
4.06
best: 11.13 (ESR)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W Split 2
FR@8 (inter-ocular)· 2022-10-13
0.67
best: 2.67 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W Split 2
NME (box)· 2022-10-13
2.03
best: 2.49 (KDN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
3D Face Modellingon300W Split 2
NME (inter-ocular)· 2022-10-13
3.43
best: 4.3 (DAN)
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233

Audio12 results

1 Image, 2*2 Stitchion300W (Full)
MAE mean (º)· 2022-10-13
1.29
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 Stitchion300W (Full)
MAE pitch (º)· 2022-10-13
1.7
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 Stitchion300W (Full)
MAE roll (º)· 2022-10-13
0.77
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 Stitchion300W (Full)
MAE yaw (º)· 2022-10-13
1.41
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 StitchionMERL-RAV
MAE mean (º)· 2022-10-13
2.39
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 StitchionMERL-RAV
MAE pitch (º)· 2022-10-13
2.24
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 StitchionMERL-RAV
MAE roll (º)· 2022-10-13
1.71
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 StitchionMERL-RAV
MAE yaw (º)· 2022-10-13
3.23
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 StitchionWFLW
MAE mean (º)· 2022-10-13
1.52
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 StitchionWFLW
MAE pitch (º)· 2022-10-13
1.86
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 StitchionWFLW
MAE roll (º)· 2022-10-13
0.93
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233
1 Image, 2*2 StitchionWFLW
MAE yaw (º)· 2022-10-13
1.78
SOTA
Shape Preserving Facial Landmarks with Graph Attention Networks arXiv:2210.07233