HyperAI超神経

Age Estimation On Cacd

評価指標

MAE

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名
MAE
Paper TitleRepository
ResNet-50-Cross-Entropy3.96A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-Regression4.06A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
CORAL5.35Rank consistent ordinal regression for neural networks with application to age estimation
ResNet-50-OR-CNN4.01A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-DLDL-v23.96A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-SORD3.96A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
MWR4.41Moving Window Regression: A Novel Approach to Ordinal Regression-
ResNet-50-Mean-Variance4.07A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-Unimodal-Concentrated4.10A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
FaRL+MLP3.96A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
RNDF4.60Facial age estimation by deep residual decision making
MiVOLO-V23.89Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
ResNet-50-DLDL3.96A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
0 of 13 row(s) selected.