This work proposes an expression aware supervision and refinement (EASR) framework that incorporates a novel expression aware loss (EAL), a learnable expression similarity structure that dynamically penalizes confusions between semantically close expressions more softly while maintaining strong penalties for distant misclassifications.
Noisy annotations and class imbalance commonly coexist in real-world facial expression recognition (FER), making hard but correctly labeled minority-class samples difficult to distinguish from unreliable training samples. Existing noisy FER approaches mainly improve robustness through sample selection or re-weighting...
A stability-oriented convolutional study that rethinks model capacity for seven-class small-sample FER and combines stratified partitioning, grayscale normalization, compact VGG-style representation learning, global average pooling, label smoothing, dropout, L2 regularization, and momentum-based optimization to control...
Yang-Xuan Xie· Applied and Computational En...· 0 citations
: Facial emotion recognition (FER) remains difficult in real-world settings. Inter-subject variability, lighting changes, occlusion, and class imbalance all limit performance. Most FER systems rely on one convolutional or transformer backbone. This narrows the features available for classification. This paper presents...
Rashid Jahangir, Nazik Alturki, M. Alreshoodi· Computer Modeling in Enginee...· 0 citations
Facial affect recognition is a key component of human-centered AI, enabling systems to respond appropriately to human nonverbal signals. The deployment of deep learning for facial affect recognition is critically hindered by vulnerability to data-driven biases and a lack of transparency. This thesis addresses these cha...
A novel bias-mitigation method that decouples and regularizes age- and emotion-related components within the self-attention mechanism of Transformer to reduce age-related bias and enhance age-invariant emotion separation is proposed.
Jaeil Park, Sung-Bae Cho· International Journal of Int...· 0 citations
Control comparisons and ablations indicate that the retained model has the most favorable observed cleanness–robustness trade-off among the tested epoch-matched alternatives; however, fixed-checkpoint comparisons on Occlusion-RAF-DB are not significant after Holm correction, while broader cross-domain validation remain...
Xue-Feng Zhao, Yi-Xuan Dong, Zhao-Man Zhong et al.· Italian National Conference...· 0 citations
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