Thorough Analysis | From Single-Label to Label Distribution: A New Approach to Facial Age Estimation
This article provides a detailed analysis of the paper Facial Age Estimation by Learning from Label Distributions by Xin Geng et al., systematically outlining the research framework and deriving the key mathematical models in detail. The analysis process includes defining the concept of label distribution, analyzing the label distribution learning model with the Kullback-Leibler divergence as the objective, deriving the conditional probability function based on the maximum entropy model and its optimization algorithm IIS-LLD, and concluding with a summary of the experimental design and results presented in the paper.