Age Estimation On Chalearn 2015
Metrics
e-error
Results
Performance results of various models on this benchmark
Model Name | e-error | Paper Title | Repository |
|---|---|---|---|
| DEX | 0.264975 | Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks | - |
| MetaAge | 0.250651 | MetaAge: Meta-Learning Personalized Age Estimators | |
| DLDL-v2 (ThinAgeNet) | 0.272 | Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation | |
| MWR | - | Moving Window Regression: A Novel Approach to Ordinal Regression | - |
| BridgeNet | 0.255140 | BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation | - |
| AgeNet | 0.270685 | AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation | - |
| DLDL+VGG-Face | 0.31 | Deep Label Distribution Learning with Label Ambiguity |
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