Facial emotion recognition with noisy multi-task annotations
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...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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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 |
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Institution: | Singapore Management University |
Language: | English |
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