mlsanityData to 14 Oct 2026

Facial Action Unit Recognition Based on Transfer Learning

arXiv 2203.14694 ↗First posted 25 Mar 2022cs.CVcited by 4

Not on the map. Why?

Abstract (arXiv)

Facial action unit recognition is an important task for facial analysis. Owing to the complex collection environment, facial action unit recognition in the wild is still challenging. The 3rd competition on affective behavior analysis in-the-wild (ABAW) has provided large amount of facial images with facial action unit annotations. In this paper, we introduce a facial action unit recognition method based on transfer learning. We first use available facial images with expression labels to train the feature extraction network. Then we fine-tune the network for facial action unit recognition.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 10 of its 13 references that are in the map. First posted on arXiv 25 Mar 2022.

Builds on

10 of 13 references.

References · 10

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFacecited by 222
  3. 2018Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyondcited by 216
  4. 2020Analysing Affective Behavior in the First ABAW 2020 Competitioncited by 178
  5. 2021Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Frameworkcited by 174
  6. 2021Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Studycited by 168
  7. 2021Analysing Affective Behavior in the second ABAW2 Competitioncited by 163
  8. 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
  9. 2019Face Behavior a la carte: Expressions, Affect and Action Units in a Single Networkcited by 155
  10. 2021A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognitioncited by 24

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 1; 2024: 2.

4 papers.

  1. 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challengescited by 110
  2. 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
  3. 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competitioncited by 78
  4. 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognitioncited by 53