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ResearchFormerly WizWand

Age Estimation on Morph (test)

1.97MAE (Years)DLDL-v2 (ThinAgeNet)
1.7643.15454.5455.9355Nov 6, 2016Aug 14, 2017May 22, 2018Feb 28, 2019Dec 6, 2019Sep 12, 2020Jun 21, 2021
Updated 8mo ago

Evaluation results

MethodLinks
DLDL-v2 (ThinAgeNet)External Data=false, Single model=true, Network=Tiny VGG-162020.071.97—
PMLExternal Data=true, Single model=true, Network=ResNet-342020.072.15—
MVExternal Data=true, Single model=true, Network=VGG-162020.072.16—
DRFSExternal Data=false, Single model=true, Network=VGG-162020.072.17—
1CHExternal Data=true, Single model=true, Network=VGG-16 (w/o FCs)2020.072.22—
DLDLFExternal Data=false, Single model=true, Network=VGG-Face2020.072.24—
DLDL-v2 (TinyAgeNet)External Data=false, Single model=true, Network=Thin VGG-162020.072.29—
PMLExternal Data=false, Single model=true, Network=ResNet-342020.072.31—
LDAEExternal Data=true, Single model=true, Network=VGG-162020.072.35—
POEExternal Data=true, Single model=true, Network=VGG-162020.072.35—
BridgeNetExternal Data=true, Single model=true, Network=VGG-162020.072.38—
DLDL+VGG-Faceloss_function=KL, prediction_method=Max, pre_trained=VGG-Face2016.112.42—
DLDLExternal Data=false, Single model=true, Network=VGG-Face2020.072.42—
DLDL+VGG-Faceloss_function=KL, prediction_method=Exp, pre_trained=VGG-Face2016.112.43—
DLDLloss_function=KL, prediction_method=Max2016.112.51—
DLDLloss_function=KL, prediction_method=Exp2016.112.52—
AgeEnExternal Data=true, Single model=true, Network=VGG-162020.072.52—
ConvNet+LDloss_function=a-div, prediction_method=Max2016.112.57—
ConvNet+LDloss_function=a-div, prediction_method=Exp2016.112.57—
VDALExternal Data=false, Single model=true, Network=VGG-Face2020.072.57—
SADALExternal Data=false, Single model=true, Network=VGG-Face2020.072.59—
VGG (softmax, Exp)external_data=IMDB-WIKI, pre_trained=VGG-Nets2016.112.68—
DEXExternal Data=true, Single model=true, Network=VGG-162020.072.68—
C3AEExternal Data=true, Single model=true, Network=C3AE2020.072.75—
C-ConvNetloss_function=softmax, prediction_method=Exp2016.112.86—
R-ConvNetloss_function=l12016.112.88—
R-ConvNetloss_function=e-ins2016.112.89—
ConvNet+LSloss_function=KL, prediction_method=Max2016.112.96—
Rank-CNNExternal Data=false, Single model=false, Network=Binary CNNs2020.072.96—
C-ConvNetloss_function=softmax, prediction_method=Max2016.113.02—
R-ConvNetloss_function=l22016.113.17—
DEXExternal Data=false, Single model=true, Network=VGG-162020.073.25—
OR-CNNExternal Data=false, Single model=true, Network=MR-CNN2020.073.27—
ConvNetssplit=80% training / 20% evaluation2016.113.31—
M-S ConvNets2016.113.63—
ST+CSHORsplit=80% training / 20% evaluation2016.113.82—
BFGS-LDLloss_function=KL, prediction_method=Exp2016.113.85—
BFGS-LDLloss_function=KL, prediction_method=Max2016.113.94—
FP-AgeTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.064.6760.54
CPNN2016.114.87—
M-V LossTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.064.9956.94
ConvNet+LSloss_function=KL, prediction_method=Exp2016.115.02—
OR-CNNTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.065.0460.87
DLDL-V2Training Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.065.155.64
DexTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.065.6353.03
IIS-LDL2016.115.67—
SVRTTraining Set=IMDB-Clean, Pre-processing=5-point face alignment2021.065.8743.71
DLDLTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.066.0733.06
CoralTraining Set=IMDB-Clean, Pre-processing=5-point face alignment2021.066.1342.33
HumanExternal Data=false, Single model=true, Network=human workers2020.076.3—
C3AETraining Set=IMDB-Clean, Pre-processing=5-point face alignment2021.067.0341.81
SSRNetTraining Set=IMDB-Clean, Pre-processing=5-point face alignment2021.067.1240.77