mlsanityData to 7 Oct 2026

EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competition

arXiv 2303.09162 ↗First posted 16 Mar 2023cs.CVcited by 7

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Abstract (arXiv)

In this article, the results of our team for the fifth Affective Behavior Analysis in-the-wild (ABAW) competition are presented. The usage of the pre-trained convolutional networks from the EmotiEffNet family for frame-level feature extraction is studied. In particular, we propose an ensemble of a multi-layered perceptron and the LightAutoML-based classifier. The post-processing by smoothing the results for sequential frames is implemented. Experimental results for the large-scale Aff-Wild2 database demonstrate that our model achieves a much greater macro-averaged F1-score for facial expression recognition and action unit detection and concordance correlation coefficients for valence/arousal estimation when compared to baseline.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 15 of its 30 references that are in the map. First posted on arXiv 16 Mar 2023.

Builds on

15 of 30 references.

References · 15

  1. 2017AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wildcited by 490
  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. 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challengescited by 110
  11. 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
  12. 2021Facial expression and attributes recognition based on multi-task learning of lightweight neural networkscited by 40
3 more
  1. 2021LightAutoML: AutoML Solution for a Large Financial Services Ecosystemcited by 32
  2. 2022Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3cited by 20
  3. 2017Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networkscited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 4; 2025: 0; 2026: 1.

7 papers.

  1. 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competitioncited by 78
  2. 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognitioncited by 53
  3. 2023Multi-modal Facial Affective Analysis based on Masked Autoencodercited by 23
  4. 2023Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detectioncited by 7
  5. 2024Emotic Masked Autoencoder with Attention Fusion for Facial Expression Recognitioncited by 3
  6. 2024AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contextscited by 3
  7. 2026Task-Specific Feature Fusion Method for Multi-Task Affective Behavior Analysiscited by 0