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Found 7 papers, 0 papers with code
CorrLoss: Integrating Co-Occurrence Domain Knowledge for Affect Recognition
Neural networks are widely adopted, yet the integration of domain knowledge is still underutilized.
Uncovering the Bias in Facial Expressions
Over the past decades the machine and deep learning community has celebrated great achievements in challenging tasks such as image classification.
Multi-label Learning with Missing Values using Combined Facial Action Unit Datasets
Facial action units allow an objective, standardized description of facial micro movements which can be used to describe emotions in human faces.
Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection
Balancing methods for single-label data cannot be applied to multi-label problems as they would also resample the samples with high occurrences.
Verifying Deep Learning-based Decisions for Facial Expression Recognition
Finally, we quantify these visual explanations based on a bounding-box method with respect to facial regions.
Facial Expression Recognition
Facial Expression Recognition (FER)
Multi-Label Class Balancing Algorithm for Action Unit Detection
Isolated facial movements, so-called Action Units, can describe combined emotions or physical states such as pain.
Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets
Head poses are a key component of human bodily communication and thus a decisive element of human-computer interaction.
