Age Estimation on Morph (test)
1.97MAE (Years)DLDL-v2 (ThinAgeNet)
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DLDL-v2 (ThinAgeNet)External Data=false, Single model=true, Network=Tiny VGG-162020.07 | 1.97 | — | |
| PMLExternal Data=true, Single model=true, Network=ResNet-342020.07 | 2.15 | — | |
| MVExternal Data=true, Single model=true, Network=VGG-162020.07 | 2.16 | — | |
| DRFSExternal Data=false, Single model=true, Network=VGG-162020.07 | 2.17 | — | |
| 1CHExternal Data=true, Single model=true, Network=VGG-16 (w/o FCs)2020.07 | 2.22 | — | |
| DLDLFExternal Data=false, Single model=true, Network=VGG-Face2020.07 | 2.24 | — | |
| DLDL-v2 (TinyAgeNet)External Data=false, Single model=true, Network=Thin VGG-162020.07 | 2.29 | — | |
| PMLExternal Data=false, Single model=true, Network=ResNet-342020.07 | 2.31 | — | |
| LDAEExternal Data=true, Single model=true, Network=VGG-162020.07 | 2.35 | — | |
| POEExternal Data=true, Single model=true, Network=VGG-162020.07 | 2.35 | — | |
| BridgeNetExternal Data=true, Single model=true, Network=VGG-162020.07 | 2.38 | — | |
| DLDL+VGG-Faceloss_function=KL, prediction_method=Max, pre_trained=VGG-Face2016.11 | 2.42 | — | |
| DLDLExternal Data=false, Single model=true, Network=VGG-Face2020.07 | 2.42 | — | |
| DLDL+VGG-Faceloss_function=KL, prediction_method=Exp, pre_trained=VGG-Face2016.11 | 2.43 | — | |
| DLDLloss_function=KL, prediction_method=Max2016.11 | 2.51 | — | |
| DLDLloss_function=KL, prediction_method=Exp2016.11 | 2.52 | — | |
| AgeEnExternal Data=true, Single model=true, Network=VGG-162020.07 | 2.52 | — | |
| ConvNet+LDloss_function=a-div, prediction_method=Max2016.11 | 2.57 | — | |
| ConvNet+LDloss_function=a-div, prediction_method=Exp2016.11 | 2.57 | — | |
| VDALExternal Data=false, Single model=true, Network=VGG-Face2020.07 | 2.57 | — | |
| SADALExternal Data=false, Single model=true, Network=VGG-Face2020.07 | 2.59 | — | |
| VGG (softmax, Exp)external_data=IMDB-WIKI, pre_trained=VGG-Nets2016.11 | 2.68 | — | |
| DEXExternal Data=true, Single model=true, Network=VGG-162020.07 | 2.68 | — | |
| C3AEExternal Data=true, Single model=true, Network=C3AE2020.07 | 2.75 | — | |
| C-ConvNetloss_function=softmax, prediction_method=Exp2016.11 | 2.86 | — | |
| R-ConvNetloss_function=l12016.11 | 2.88 | — | |
| R-ConvNetloss_function=e-ins2016.11 | 2.89 | — | |
| ConvNet+LSloss_function=KL, prediction_method=Max2016.11 | 2.96 | — | |
| Rank-CNNExternal Data=false, Single model=false, Network=Binary CNNs2020.07 | 2.96 | — | |
| C-ConvNetloss_function=softmax, prediction_method=Max2016.11 | 3.02 | — | |
| R-ConvNetloss_function=l22016.11 | 3.17 | — | |
| DEXExternal Data=false, Single model=true, Network=VGG-162020.07 | 3.25 | — | |
| OR-CNNExternal Data=false, Single model=true, Network=MR-CNN2020.07 | 3.27 | — | |
| ConvNetssplit=80% training / 20% evaluation2016.11 | 3.31 | — | |
| M-S ConvNets2016.11 | 3.63 | — | |
| ST+CSHORsplit=80% training / 20% evaluation2016.11 | 3.82 | — | |
| BFGS-LDLloss_function=KL, prediction_method=Exp2016.11 | 3.85 | — | |
| BFGS-LDLloss_function=KL, prediction_method=Max2016.11 | 3.94 | — | |
| FP-AgeTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.06 | 4.67 | 60.54 | |
| CPNN2016.11 | 4.87 | — | |
| M-V LossTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.06 | 4.99 | 56.94 | |
| ConvNet+LSloss_function=KL, prediction_method=Exp2016.11 | 5.02 | — | |
| OR-CNNTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.06 | 5.04 | 60.87 | |
| DLDL-V2Training Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.06 | 5.1 | 55.64 | |
| DexTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.06 | 5.63 | 53.03 | |
| IIS-LDL2016.11 | 5.67 | — | |
| SVRTTraining Set=IMDB-Clean, Pre-processing=5-point face alignment2021.06 | 5.87 | 43.71 | |
| DLDLTraining Set=IMDB-Clean, Pre-processing=RoI Tanh-polar Transform [4]2021.06 | 6.07 | 33.06 | |
| CoralTraining Set=IMDB-Clean, Pre-processing=5-point face alignment2021.06 | 6.13 | 42.33 | |
| HumanExternal Data=false, Single model=true, Network=human workers2020.07 | 6.3 | — | |
| C3AETraining Set=IMDB-Clean, Pre-processing=5-point face alignment2021.06 | 7.03 | 41.81 | |
| SSRNetTraining Set=IMDB-Clean, Pre-processing=5-point face alignment2021.06 | 7.12 | 40.77 |