Multi-Label Class Balancing Algorithm for Action Unit Detection

Jaspar Pahl; Ines Rieger; Dominik Seuss

Multi-Label Class Balancing Algorithm for Action Unit Detection

Computer Vision and Pattern Recognition 2020-02-11 v1 Machine Learning Image and Video Processing

Authors: Jaspar Pahl , Ines Rieger , Dominik Seuss

Abstract

Isolated facial movements, so-called Action Units, can describe combined emotions or physical states such as pain. As datasets are limited and mostly imbalanced, we present an approach incorporating a multi-label class balancing algorithm. This submission is subject to the Action Unit detection task of the Affective Behavior Analysis in-the-wild (ABAW) challenge at the IEEE Conference on Face and Gesture Recognition 2020.

Keywords

facial action unit detection

Cite

@article{arxiv.2002.03238,
  title  = {Multi-Label Class Balancing Algorithm for Action Unit Detection},
  author = {Jaspar Pahl and Ines Rieger and Dominik Seuss},
  journal= {arXiv preprint arXiv:2002.03238},
  year   = {2020}
}

Comments

This submission is subject to the Action Unit detection task of the Affective Behavior Analysis in-the-wild (ABAW) challenge at the IEEE Conference on Face and Gesture Recognition 2020

Multi-Label Class Balancing Algorithm for Action Unit Detection

Abstract

Keywords

Cite

Comments

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