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Age Estimation On Utkface

Metriken

MAE

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	MAE	Paper Title	Repository
ResNet-50-OR-CNN	4.40	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	4.38	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	4.36	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	4.39	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
CORAL	5.39	Rank consistent ordinal regression for neural networks with application to age estimation
ResNet-50-DLDL-v2	4.42	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
FaRL+MLP	3.87	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
MiVOLO-D1	3.7	MiVOLO: Multi-input Transformer for Age and Gender Estimation
ResNet-50-Regression	4.72	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
MWR	4.37	Moving Window Regression: A Novel Approach to Ordinal Regression	-
ResNet-50-Unimodal-Concentrated	4.47	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
Randomized Bins	4.55	Deep Ordinal Regression with Label Diversity
VOLO-D1 age&gender	4.23	MiVOLO: Multi-input Transformer for Age and Gender Estimation
ResNet-50-Mean-Variance	4.42	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark

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