Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge

Yanan Chang, Yi Wu, Xiangyu Miao, Jiahe Wang, Shangfei Wang
7/20/2022
cs.CV

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Abstract

Facial valence/arousal, expression and action unit are related tasks in facial affective analysis. However, the tasks only have limited performance in the wild due to the various collected conditions. The 4th competition on affective behavior analysis in the wild (ABAW) provided images with valence/arousal, expression and action unit labels. In this paper, we introduce multi-task learning framework to enhance the performance of three related tasks in the wild. Feature sharing and label fusion are used to utilize their relations. We conduct experiments on the provided training and validating data.

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Cite this paper

@article{chang2022multitask,
  title  = {Multi-Task Learning for Emotion Descriptors Estimation at the fourth ABAW Challenge},
  author = {Yanan Chang and Yi Wu and Xiangyu Miao and Jiahe Wang and Shangfei Wang},
  year   = {2022},
  eprint = {2207.09716},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2207.09716v1}
}

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