Age Estimation On Chalearn 2016

MAE

Results

Performance results of various models on this benchmark

		Paper Title
MetaAge	3.49	MetaAge: Meta-Learning Personalized Age Estimators
DLDL-v2 (ThinAgeNet)	3.452	Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
FaRL+MLP	3.38	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
Mean-Variance	-	Mean-Variance Loss for Deep Age Estimation From a Face

0 of 4 row(s) selected.