List your company

Age Estimation on AgeDB-DIR v1 (test)

8.42MAEGCLSS
8.35128.81569.289.7444Dec 10, 2025

Evaluation results

MethodLinks
GCLSSType=Semi-Supervised, Labeled Data Ratio=1/15, Backbone=ResNet-502025.128.42————————
CLSSType=Semi-Supervised, Labeled Data Ratio=1/15, Backbone=ResNet-502025.128.45————————
CPSType=Semi-Supervised, Labeled Data Ratio=1/15, Backbone=ResNet-502025.128.47————————
RankUpType=Semi-Supervised, Labeled Data Ratio=1/15, Backbone=ResNet-502025.128.52————————
RegressionType=Supervised, Labeled Data Ratio=1/15, Backbone=ResNet-502025.128.58————————
Mean-TeacherType=Supervised, Labeled Data Ratio=1/15, Backbone=ResNet-502025.128.62————————
GCLSSType=Semi-Supervised, Labeled Data Ratio=1/20, Backbone=ResNet-502025.128.77————————
CLSSType=Semi-Supervised, Labeled Data Ratio=1/20, Backbone=ResNet-502025.128.88————————
CPSType=Semi-Supervised, Labeled Data Ratio=1/20, Backbone=ResNet-502025.128.99————————
RankUpType=Semi-Supervised, Labeled Data Ratio=1/20, Backbone=ResNet-502025.129————————
Mean-TeacherType=Supervised, Labeled Data Ratio=1/20, Backbone=ResNet-502025.129.05————————
RegressionType=Supervised, Labeled Data Ratio=1/20, Backbone=ResNet-502025.129.1————————
GCLSSType=Semi-Supervised, Labeled Data Ratio=1/25, Backbone=ResNet-502025.129.5————————
CLSSType=Semi-Supervised, Labeled Data Ratio=1/25, Backbone=ResNet-502025.129.59————————
RankUpType=Semi-Supervised, Labeled Data Ratio=1/25, Backbone=ResNet-502025.129.76————————
CPSType=Semi-Supervised, Labeled Data Ratio=1/25, Backbone=ResNet-502025.129.83————————
RankUpType=Semi-Supervised, Labeled Data Ratio=1/30, Backbone=ResNet-502025.129.84————————
GCLSSType=Semi-Supervised, Labeled Data Ratio=1/30, Backbone=ResNet-502025.129.86————————
CLSSType=Semi-Supervised, Labeled Data Ratio=1/30, Backbone=ResNet-502025.129.95————————
RegressionType=Supervised, Labeled Data Ratio=1/25, Backbone=ResNet-502025.129.99————————
Mean-TeacherType=Supervised, Labeled Data Ratio=1/25, Backbone=ResNet-502025.129.99————————
CPSType=Semi-Supervised, Labeled Data Ratio=1/30, Backbone=ResNet-502025.129.99————————
Mean-TeacherType=Supervised, Labeled Data Ratio=1/30, Backbone=ResNet-502025.1210.05————————
RegressionType=Supervised, Labeled Data Ratio=1/30, Backbone=ResNet-502025.1210.14————————
Balanced MSE2023.10—8.977.657.4312.657.787.657.459.99
CLS2023.10—9.146.898.6214.087.586.898.5111.6
CLSLDS=true2023.10—8.757.178.2912.277.637.178.310.14
CLSLDS=true, RankSim=true2023.10—7.996.667.2111.26.976.667.169.34
DC-regression2023.10—9.76.828.7716.167.656.828.712.55
DC-regressionLDS=true2023.10—9.487.369.1111.048.037.369.1311.26
HCA-add2023.10—8.956.918.2613.537.496.918.1711.05
HCA-addLDS=true2023.10—8.47.227.8311.187.537.227.829.61
HCA-addLDS=true, RankSim=true2023.10—7.826.677.1210.596.946.677.079.1
HCA-d2023.10—8.856.868.3113.267.456.868.2210.9
HCA-dLDS=true2023.10—8.467.117.811.647.477.117.7710.06
HCA-dLDS=true, RankSim=true2023.10—7.876.747.1410.667.016.747.139.22
HCA-mul2023.10—8.976.938.3513.527.526.938.2511.1
HCA-mulLDS=true2023.10—8.547.258.0211.497.67.258.029.7
HCA-mulLDS=true, RankSim=true2023.10—7.856.687.1410.716.956.687.19.17
Regression2023.10—9.726.628.816.667.576.618.7313.48
RegressionLDS=true2023.10—9.126.988.8713.667.676.988.8710.91
RegressionLDS=true, RankSim=true2023.10—7.966.347.8411.356.916.347.89.92