task_path
stringlengths 3
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⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
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⌀ | paper_url
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601
⌀ | metric_name
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⌀ | metric_value
stringlengths 1
9.22k
⌀ |
|---|---|---|---|---|---|
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation
|
MORPH Album2
|
OrdinalCLIP
|
https://arxiv.org/abs/2206.02338v2
|
MAE (4 shot)
|
3.55
|
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation
|
MORPH Album2
|
OrdinalCLIP
|
https://arxiv.org/abs/2206.02338v2
|
MAE (8 shot)
|
3.31
|
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation
|
MORPH Album2
|
OrdinalCLIP
|
https://arxiv.org/abs/2206.02338v2
|
MAE (16 shot)
|
3.07
|
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation
|
MORPH Album2
|
CoOp
|
https://arxiv.org/abs/2109.01134v6
|
MAE
|
5.09
|
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation
|
MORPH Album2
|
CoOp
|
https://arxiv.org/abs/2109.01134v6
|
MAE (2 shot)
|
4.50
|
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation
|
MORPH Album2
|
CoOp
|
https://arxiv.org/abs/2109.01134v6
|
MAE (4 shot)
|
3.81
|
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation
|
MORPH Album2
|
CoOp
|
https://arxiv.org/abs/2109.01134v6
|
MAE (8 shot)
|
3.57
|
Facial Recognition and Modelling > Age Estimation > Few-shot Age Estimation
|
MORPH Album2
|
CoOp
|
https://arxiv.org/abs/2109.01134v6
|
MAE (16 shot)
|
3.23
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
PRN
|
http://arxiv.org/abs/1803.07835v1
|
Mean NME
|
3.7551%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
VRN-Guided
|
http://arxiv.org/abs/1703.07834v2
|
Mean NME
|
5.2667%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
3DDFA
|
http://arxiv.org/abs/1511.07212v1
|
Mean NME
|
6.3833%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
GANFit
|
http://arxiv.org/abs/1902.05978v2
|
Average 3D Error
|
0.95
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Unsupervised-3DMMR
|
http://arxiv.org/abs/1806.06098v1
|
Average 3D Error
|
1.50
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
itwmm
|
http://arxiv.org/abs/1701.05360v1
|
Average 3D Error
|
1.82
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
3DMM-CNN
|
http://arxiv.org/abs/1612.04904v1
|
Average 3D Error
|
1.93
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
ASM
|
https://arxiv.org/abs/2304.09423v3
|
RMSE Cooperative
|
1.34
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
ASM
|
https://arxiv.org/abs/2304.09423v3
|
RMSE Indoor
|
1.53
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
DenseLandmarks (Multi-view)
|
https://arxiv.org/abs/2204.02776v2
|
RMSE Cooperative
|
1.43
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
DenseLandmarks (Multi-view)
|
https://arxiv.org/abs/2204.02776v2
|
RMSE Indoor
|
1.42
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
DenseLandmarks (Multi-view)
|
https://arxiv.org/abs/2204.02776v2
|
RMSE Outdoor
|
1.42
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Deng
|
https://arxiv.org/abs/1903.08527v2
|
RMSE Cooperative
|
1.60
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Deng
|
https://arxiv.org/abs/1903.08527v2
|
RMSE Indoor
|
1.61
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
DenseLandmarks (Single-view)
|
https://arxiv.org/abs/2204.02776v2
|
RMSE Cooperative
|
1.64
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
DenseLandmarks (Single-view)
|
https://arxiv.org/abs/2204.02776v2
|
RMSE Indoor
|
1.62
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
DenseLandmarks (Single-view)
|
https://arxiv.org/abs/2204.02776v2
|
RMSE Outdoor
|
1.61
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Deep3DFaceReconstruction
|
https://arxiv.org/abs/1903.08527v2
|
RMSE Cooperative
|
1.66
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Deep3DFaceReconstruction
|
https://arxiv.org/abs/1903.08527v2
|
RMSE Indoor
|
1.66
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Deep3DFaceReconstruction
|
https://arxiv.org/abs/1903.08527v2
|
RMSE Outdoor
|
1.69
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Piotraschke and Blanz
|
http://openaccess.thecvf.com/content_cvpr_2016/html/Piotraschke_Automated_3D_Face_CVPR_2016_paper.html
|
RMSE Cooperative
|
1.68
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Piotraschke and Blanz
|
http://openaccess.thecvf.com/content_cvpr_2016/html/Piotraschke_Automated_3D_Face_CVPR_2016_paper.html
|
RMSE Indoor
|
1.67
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Genova et al.
|
http://arxiv.org/abs/1806.06098v1
|
RMSE Cooperative
|
1.78
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Genova et al.
|
http://arxiv.org/abs/1806.06098v1
|
RMSE Indoor
|
1.78
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Genova et al.
|
http://arxiv.org/abs/1806.06098v1
|
RMSE Outdoor
|
1.76
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Tran et al.
|
http://arxiv.org/abs/1612.04904v1
|
RMSE Cooperative
|
1.97
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Tran et al.
|
http://arxiv.org/abs/1612.04904v1
|
RMSE Indoor
|
2.03
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
Tran et al.
|
http://arxiv.org/abs/1612.04904v1
|
RMSE Outdoor
|
1.93
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Florence
|
3DDFA_V2
|
https://arxiv.org/abs/2009.09960v2
|
Mean NME
|
3.56
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
AFLW2000-3D
|
SADRNet
|
https://arxiv.org/abs/2106.03021v1
|
Mean NME
|
3.25%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
AFLW2000-3D
|
VGG-F
|
https://arxiv.org/abs/2103.16554v2
|
Mean NME
|
3.42%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
AFLW2000-3D
|
B-spline FFD
|
https://arxiv.org/abs/2105.14857v2
|
Mean NME
|
3.51%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
AFLW2000-3D
|
3DDFA-V2
|
https://arxiv.org/abs/2009.09960v2
|
Mean NME
|
3.56%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
AFLW2000-3D
|
PRN
|
http://arxiv.org/abs/1803.07835v1
|
Mean NME
|
3.9625%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
AFLW2000-3D
|
3DDFA
|
http://arxiv.org/abs/1511.07212v1
|
Mean NME
|
5.3695%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
AFLW2000-3D
|
DeFA
|
http://arxiv.org/abs/1709.01442v1
|
Mean NME
|
5.6454%
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
AFLW2000-3D
|
DSFNet-is
|
https://arxiv.org/abs/2305.11522v1
|
Mean NME
|
3.16
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Stirling-LQ (FG2018 3D face reconstruction challenge)
|
DECA
|
https://arxiv.org/abs/2012.04012v2
|
Mean Reconstruction Error (mm)
|
1.91
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Stirling-LQ (FG2018 3D face reconstruction challenge)
|
RingNet
|
https://arxiv.org/abs/1905.06817v1
|
Mean Reconstruction Error (mm)
|
2.08
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Stirling-LQ (FG2018 3D face reconstruction challenge)
|
3DDFA_V2
|
https://arxiv.org/abs/2009.09960v2
|
Mean Reconstruction Error (mm)
|
2.10
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
Stirling-LQ (FG2018 3D face reconstruction challenge)
|
PRNet
|
http://arxiv.org/abs/1803.07835v1
|
Mean Reconstruction Error (mm)
|
2.38
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
!(()&&!|*|*|
|
po
|
http://arxiv.org/abs/1612.00593v2
|
0L
|
po
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-f
|
https://arxiv.org/abs/2303.11225v2
|
@nose
|
1.036 (±0.280)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-f
|
https://arxiv.org/abs/2303.11225v2
|
@mouth
|
1.450 (±0.413)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-f
|
https://arxiv.org/abs/2303.11225v2
|
@forehead
|
1.324 (±0.334)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-f
|
https://arxiv.org/abs/2303.11225v2
|
@cheek
|
1.291 (±0.362)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-f
|
https://arxiv.org/abs/2303.11225v2
|
all
|
1.275
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-c
|
https://arxiv.org/abs/2303.11225v2
|
@nose
|
1.054 (±0.317)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-c
|
https://arxiv.org/abs/2303.11225v2
|
@mouth
|
1.461 (±0.430)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-c
|
https://arxiv.org/abs/2303.11225v2
|
@forehead
|
1.331 (±0.347)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-c
|
https://arxiv.org/abs/2303.11225v2
|
@cheek
|
1.342 (±0.384)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HiFace-c
|
https://arxiv.org/abs/2303.11225v2
|
all
|
1.297
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
FFHQ-UV
|
https://arxiv.org/abs/2211.13874v2
|
@nose
|
1.681
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
FFHQ-UV
|
https://arxiv.org/abs/2211.13874v2
|
@mouth
|
1.339
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
FFHQ-UV
|
https://arxiv.org/abs/2211.13874v2
|
@forehead
|
1.631
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
FFHQ-UV
|
https://arxiv.org/abs/2211.13874v2
|
@cheek
|
0.943
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
FFHQ-UV
|
https://arxiv.org/abs/2211.13874v2
|
all
|
1.399
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
3DDFA-v3
|
https://arxiv.org/abs/2312.00311v3
|
@nose
|
1.584 (±0.308)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
3DDFA-v3
|
https://arxiv.org/abs/2312.00311v3
|
@mouth
|
1.237 (±0.375)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
3DDFA-v3
|
https://arxiv.org/abs/2312.00311v3
|
@forehead
|
1.809 (±0.394)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
3DDFA-v3
|
https://arxiv.org/abs/2312.00311v3
|
@cheek
|
1.110 (±0.328)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
3DDFA-v3
|
https://arxiv.org/abs/2312.00311v3
|
all
|
1.435
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MoSAR
|
https://arxiv.org/abs/2312.13091v2
|
@nose
|
1.499 (±0.366)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MoSAR
|
https://arxiv.org/abs/2312.13091v2
|
@mouth
|
1.424 (±0.462)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MoSAR
|
https://arxiv.org/abs/2312.13091v2
|
@forehead
|
1.950 (±0.559)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MoSAR
|
https://arxiv.org/abs/2312.13091v2
|
@cheek
|
1.128 (±0.303)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MoSAR
|
https://arxiv.org/abs/2312.13091v2
|
all
|
1.500
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HRN
|
https://arxiv.org/abs/2302.14434v2
|
@nose
|
1.722 (±0.330)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HRN
|
https://arxiv.org/abs/2302.14434v2
|
@mouth
|
1.357 (±0.523)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HRN
|
https://arxiv.org/abs/2302.14434v2
|
@forehead
|
1.995 (±0.476)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HRN
|
https://arxiv.org/abs/2302.14434v2
|
@cheek
|
1.072 (±0.333)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
HRN
|
https://arxiv.org/abs/2302.14434v2
|
all
|
1.537
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
Deep3D
|
https://arxiv.org/abs/1903.08527v2
|
@nose
|
1.719 (±0.354)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
Deep3D
|
https://arxiv.org/abs/1903.08527v2
|
@mouth
|
1.368 (±0.439)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
Deep3D
|
https://arxiv.org/abs/1903.08527v2
|
@forehead
|
2.015 (±0.449)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
Deep3D
|
https://arxiv.org/abs/1903.08527v2
|
@cheek
|
1.528 (±0.501)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
Deep3D
|
https://arxiv.org/abs/1903.08527v2
|
all
|
1.657
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
AlbedoGAN
|
https://arxiv.org/abs/2304.12483v3
|
@nose
|
1.656 (±0.374)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
AlbedoGAN
|
https://arxiv.org/abs/2304.12483v3
|
@mouth
|
2.087 (±0.839)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
AlbedoGAN
|
https://arxiv.org/abs/2304.12483v3
|
@forehead
|
2.102 (±0.512)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
AlbedoGAN
|
https://arxiv.org/abs/2304.12483v3
|
@cheek
|
1.141 (±0.303)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
AlbedoGAN
|
https://arxiv.org/abs/2304.12483v3
|
all
|
1.746
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MGCNet
|
https://arxiv.org/abs/2007.12494v1
|
@nose
|
1.827 (±0.383)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MGCNet
|
https://arxiv.org/abs/2007.12494v1
|
@mouth
|
1.409 (±0.418)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MGCNet
|
https://arxiv.org/abs/2007.12494v1
|
@forehead
|
2.248 (±0.508)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MGCNet
|
https://arxiv.org/abs/2007.12494v1
|
@cheek
|
1.665 (±0.644)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
MGCNet
|
https://arxiv.org/abs/2007.12494v1
|
all
|
1.787
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
GANFit
|
http://arxiv.org/abs/1902.05978v2
|
@nose
|
1.928 (±0.490)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
GANFit
|
http://arxiv.org/abs/1902.05978v2
|
@mouth
|
1.812 (±0.544)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
GANFit
|
http://arxiv.org/abs/1902.05978v2
|
@forehead
|
2.402 (±0.545)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
GANFit
|
http://arxiv.org/abs/1902.05978v2
|
@cheek
|
1.329 (±0.504)
|
Facial Recognition and Modelling > Face Reconstruction > 3D Face Reconstruction
|
REALY
|
GANFit
|
http://arxiv.org/abs/1902.05978v2
|
all
|
1.868
|
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