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A Feature-Level Bias Evaluation Framework For Facial Expression Recognition Models by hahorec703 is a document available to read on EtoBox.
The paper presents a feature-level bias evaluation framework for Facial Expression Recognition (FER) models that addresses the limitations of existing methods relying on pseudo-demographic labels. It introduces a statistical module to ensure the significance of bias evaluation results and conducts a comprehensive analysis across various demographic attributes and facial expressions. The findings reveal significant demographic biases in FER, highlighting the need for fairer network architectures and robust e
- Author
- hahorec703
- Language
- EN