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Analysing Affective Behavior in the First ABAW 2020 Competition

arXiv 2001.11409 ↗First posted 30 Jan 2020cs.LG stat.MLcited by 178

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Abstract (arXiv)

The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is the first Competition aiming at automatic analysis of the three main behavior tasks of valence-arousal estimation, basic expression recognition and action unit detection. It is split into three Challenges, each one addressing a respective behavior task. For the Challenges, we provide a common benchmark database, Aff-Wild2, which is a large scale in-the-wild database and the first one annotated for all these three tasks. In this paper, we describe this Competition, to be held in conjunction with the IEEE Conference on Face and Gesture Recognition, May 2020, in Buenos Aires, Argentina. We present the three Challenges, with the utilized Competition corpora. We outline the evaluation metrics, present both the baseline system and the top-3 performing teams' methodologies per Challenge and finally present their obtained results. More information regarding the Competition, the leaderboard of each Challenge and details for accessing the utilized database, are provided in the Competition site: http://ibug.doc.ic.ac.uk/resources/fg-2020-competition-affective-behavior-analysis.

Key facts. Cited by 178 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jan 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 33; 2022: 32; 2023: 30; 2024: 44; 2025: 23; 2026: 16.

178 papers.

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  1. 2021Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Frameworkcited by 174
  2. 2021Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Studycited by 168
  3. 2021Analysing Affective Behavior in the second ABAW2 Competitioncited by 163
  4. 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
  5. 2022ABAW: Learning from Synthetic Data & Multi-Task Learning Challengescited by 110
  6. 2023ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challengescited by 110
  7. 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competitioncited by 78
  8. 2024Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyondcited by 60
  9. 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognitioncited by 53
  10. 2022Transformer-based Multimodal Information Fusion for Facial Expression Analysiscited by 49
  11. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
  12. 2022A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognitioncited by 33
38 more
  1. 2023MER 2023: Multi-label Learning, Modality Robustness, and Semi-Supervised Learningcited by 33
  2. 2022MixAugment & Mixup: Augmentation Methods for Facial Expression Recognitioncited by 31
  3. 2024Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scanscited by 30
  4. 2021Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videoscited by 28
  5. 2021The MuSe 2021 Multimodal Sentiment Analysis Challenge: Sentiment, Emotion, Physiological-Emotion, and Stresscited by 27
  6. 2024Facial Affective Behavior Analysis with Instruction Tuningcited by 26
  7. 2021A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognitioncited by 24
  8. 2023Multi-modal Facial Affective Analysis based on Masked Autoencodercited by 23
  9. 2024COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI Systemcited by 23
  10. 2021The Multimodal Sentiment Analysis in Car Reviews (MuSe-CaR) Dataset: Collection, Insights and Improvementscited by 22
  11. 2022COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognitioncited by 22
  12. 2021Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognitioncited by 20
  13. 2022Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3cited by 20
  14. 2022AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imagingcited by 20
  15. 2023Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognitioncited by 20
  16. 2023BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classificationcited by 20
  17. 2021A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysiscited by 19
  18. 2021Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competitioncited by 18
  19. 2022Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attentioncited by 18
  20. 2024Affective Behaviour Analysis via Integrating Multi-Modal Knowledgecited by 18
  21. 2022Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognitioncited by 17
  22. 2022Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devicescited by 16
  23. 2023MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimationcited by 16
  24. 2024Robust Light-Weight Facial Affective Behavior Recognition with CLIPcited by 16
  25. 2024Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkitcited by 16
  26. 2021Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognitioncited by 15
  27. 2021Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusioncited by 15
  28. 2022Multi-modal Emotion Estimation for in-the-wild Videoscited by 15
  29. 2024Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion Recognitioncited by 15
  30. 2025HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognitioncited by 15
  31. 2021Graph-based Facial Affect Analysis: A Reviewcited by 14
  32. 2024SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detectioncited by 14
  33. 2024Joint Multimodal Transformer for Emotion Recognition in the Wildcited by 13
  34. 2025DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarioscited by 13
  35. 2021An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wildcited by 12
  36. 2021Multitask Multi-database Emotion Recognitioncited by 12
  37. 2024Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimationcited by 11
  38. 2021Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Techniquecited by 10

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