Facial emotion recognition with noisy multi-task annotations

• Main Authors: ZHANG, S., HUANG, Zhiwu, PAUDEL, D.P., VAN, Gool L.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6394; https://ink.library.smu.edu.sg/context/sis_research/article/7397/viewcontent/Facial_Emotion_Recognition_with_Noisy_Multi_task_Annotations.pdf
• Institution: Singapore Management University

Human emotions can be inferred from facial expressions. However, the annotations of facial expressions are often highly noisy in common emotion coding models, including categorical and dimensional ones. To reduce human labelling effort on multi-task labels, we introduce a new problem of facial emoti...