mlsanityData to 13 Oct 2026

Human Reaction Intensity Estimation with Ensemble of Multi-task Networks

arXiv 2303.09240 ↗First posted 16 Mar 2023cs.CVcited by 1

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Abstract (arXiv)

Facial expression in-the-wild is essential for various interactive computing domains. Especially, "Emotional Reaction Intensity" (ERI) is an important topic in the facial expression recognition task. In this paper, we propose a multi-emotional task learning-based approach and present preliminary results for the ERI challenge introduced in the 5th affective behavior analysis in-the-wild (ABAW) competition. Our method achieved the mean PCC score of 0.3254.

Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 14 of its 26 references that are in the map. First posted on arXiv 16 Mar 2023.

Builds on

14 of 26 references.

References · 14

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,950
  2. 2017AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wildcited by 491
  3. 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFacecited by 222
  4. 2018Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyondcited by 216
  5. 2020Analysing Affective Behavior in the First ABAW 2020 Competitioncited by 178
  6. 2021Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Frameworkcited by 174
  7. 2021Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Studycited by 168
  8. 2021Analysing Affective Behavior in the second ABAW2 Competitioncited by 163
  9. 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
  10. 2019Face Behavior a la carte: Expressions, Affect and Action Units in a Single Networkcited by 155
  11. 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challengescited by 110
  12. 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
2 more
  1. 2021Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognitioncited by 55
  2. 2022The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stresscited by 23

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directionscited by 0