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Age Estimation On Cacd

Metrics

MAE

Results

Performance results of various models on this benchmark

		Paper Title	Repository
CORAL	5.35	Rank consistent ordinal regression for neural networks with application to age estimation
RNDF	4.60	Facial age estimation by deep residual decision making
MWR	4.41	Moving Window Regression: A Novel Approach to Ordinal Regression
ResNet-50-Unimodal-Concentrated	4.10	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-Mean-Variance	4.07	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-Regression	4.06	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-OR-CNN	4.01	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-Cross-Entropy	3.96	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-DLDL-v2	3.96	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-SORD	3.96	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
FaRL+MLP	3.96	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-DLDL	3.96	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
MiVOLO-V2	3.89	Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation

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