arXiv cs.CV
· Papers
Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and Models
arXiv:2502.11049v3 Announce Type: replace Abstract: Automated Facial Expression Recognition (FER), involves two critical aspects: data and model design. Both significantly influence bias and fairness in FER tasks. However, issues related to bias and fairness in FER datasets and models remain underexplored. This study i