Integrating Domain Knowledge for Robust and Interpretable Deep Neural Networks in Facial Affect Recognition
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...