Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild

• Main Authors: Fard, Ali Pourramezan, Mahoor, Mohammad H
• Format: Text
• Language: unknown
• Published: Digital Commons @ DU 2022
• Subjects: Facial expression recognition; Facial emotion recognition; Ad-Corre loss; Loss function; Convolutional neural network; Daniel Felix Ritchie School of Engineering and Computer Science; Electrical and Computer Engineering; Engineering; OS and Networks; Other Electrical and Computer Engineering; Software Engineering; Ritchie; DML
• Online Access: https://digitalcommons.du.edu/electrical_engineering_faculty/53; https://digitalcommons.du.edu/cgi/viewcontent.cgi?article=1052&context=electrical_engineering_faculty

Automated Facial Expression Recognition (FER) in the wild using deep neural networks is still challenging due to intra-class variations and inter-class similarities in facial images. Deep Metric Learning (DML) is among the widely used methods to deal with these issues by improving the discriminative...