mlsanityData to 13 Oct 2026

Facial Affective Behavior Analysis Method for 5th ABAW Competition

arXiv 2303.09145 ↗First posted 16 Mar 2023cs.CVcited by 6

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Abstract (arXiv)

Facial affective behavior analysis is important for human-computer interaction. 5th ABAW competition includes three challenges from Aff-Wild2 database. Three common facial affective analysis tasks are involved, i.e. valence-arousal estimation, expression classification, action unit recognition. For the three challenges, we construct three different models to solve the corresponding problems to improve the results, such as data unbalance and data noise. For the experiments of three challenges, we train the models on the provided training data and validate the models on the validation data.

Key facts. Cited by 6 papers in the map (data through 13 Oct 2026). Builds on 16 of its 17 references that are in the map. First posted on arXiv 16 Mar 2023.

Builds on

16 of 17 references.

References · 16

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,950
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  3. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,426
  4. 2018MobileNetV2: Inverted Residuals and Linear Bottleneckscited by 4,786
  5. 2020Designing Network Design Spacescited by 956
  6. 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFacecited by 222
  7. 2018Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyondcited by 216
  8. 2020Analysing Affective Behavior in the First ABAW 2020 Competitioncited by 178
  9. 2021Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Frameworkcited by 174
  10. 2021Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Studycited by 168
  11. 2021Analysing Affective Behavior in the second ABAW2 Competitioncited by 163
  12. 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
4 more
  1. 2019Face Behavior a la carte: Expressions, Affect and Action Units in a Single Networkcited by 155
  2. 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challengescited by 110
  3. 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
  4. 2022An Ensemble Approach for Facial Expression Analysis in Videocited by 9

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Cited by year

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

6 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. 2025HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognitioncited by 15
  4. 2024HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Predictioncited by 8
  5. 2023Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detectioncited by 7
  6. 2024AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contextscited by 3