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Facial expression intensity estimation using label-distribution-learning-enhanced ordinal regression

2023-05-16

Abstract excerpt

Facial expression intensity estimation has promising applications in health care and affective computing, such as monitoring patients’ pain feelings. However, labeling facial expression intensity is a specialized and time-consuming task. To overcome the lack of labeled data, a variety of ordinal regression (OR) models have been presented to estimate the relative intensity of each expression image within a sequence...

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Literature Corpus work
86427ded-f859-598e-bc2b-5db520dca215
DOI
10.21203/rs.3.rs-2918817/v1
Open publication

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Facial expression intensity estimation using label-distribution-learning-enhanced ordinal regressionDOI 10.21203/rs.3.rs-2918817/v1
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