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The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition

arXiv 2402.19344 ↗First posted 29 Feb 2024cs.CVcited by 78

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Abstract (arXiv)

This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition, which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th ABAW Competition addresses contemporary challenges in understanding human emotions and behaviors, crucial for the development of human-centered technologies. In more detail, the Competition focuses on affect related benchmarking tasks and comprises of five sub-challenges: i) Valence-Arousal Estimation (the target is to estimate two continuous affect dimensions, valence and arousal), ii) Expression Recognition (the target is to recognise between the mutually exclusive classes of the 7 basic expressions and 'other'), iii) Action Unit Detection (the target is to detect 12 action units), iv) Compound Expression Recognition (the target is to recognise between the 7 mutually exclusive compound expression classes), and v) Emotional Mimicry Intensity Estimation (the target is to estimate six continuous emotion dimensions). In the paper, we present these Challenges, describe their respective datasets and challenge protocols (we outline the evaluation metrics) and present the baseline systems as well as their obtained performance. More information for the Competition can be found in: https://affective-behavior-analysis-in-the-wild.github.io/6th.

Key facts. Cited by 78 papers in the map (data through 7 Oct 2026). Builds on 92 of its 146 references that are in the map. First posted on arXiv 29 Feb 2024.

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92 of 146 references.

References · 92

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  3. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 895
  4. 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFacecited by 222
  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
38 more
  1. 2018Aff-Wild2: Extending the Aff-Wild Database for Affect Recognitioncited by 80
  2. 2020Deep Transparent Prediction through Latent Representation Analysiscited by 72
  3. 2021MIA-COV19D: COVID-19 Detection through 3-D Chest CT Image Analysiscited by 72
  4. 2017End-to-End Multimodal Emotion Recognition using Deep Neural Networkscited by 69
  5. 2024Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyondcited by 60
  6. 2020Two-Stream Aural-Visual Affect Analysis in the Wildcited by 51
  7. 2022Transformer-based Multimodal Information Fusion for Facial Expression Analysiscited by 49
  8. 2019Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Datasetcited by 39
  9. 2020Multitask Emotion Recognition with Incomplete Labelscited by 39
  10. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
  11. 2018Photorealistic Facial Synthesis in the Dimensional Affect Spacecited by 33
  12. 2022A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognitioncited by 33
  13. 2022MixAugment & Mixup: Augmentation Methods for Facial Expression Recognitioncited by 31
  14. 2018A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressionscited by 25
  15. 2021A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognitioncited by 24
  16. 2018Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigmcited by 20
  17. 2022Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3cited by 20
  18. 2023BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classificationcited by 20
  19. 2021A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysiscited by 19
  20. 2021Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competitioncited by 18
  21. 2022Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognitioncited by 17
  22. 2017Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognitioncited by 16
  23. 2022Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devicescited by 16
  24. 2022Multi-modal Emotion Estimation for in-the-wild Videoscited by 15
  25. 2020M3T: Multi-Modal Continuous Valence-Arousal Estimation in the Wildcited by 14
  26. 2023Multimodal Continuous Emotion Recognition: A Technical Report for ABAW5cited by 14
  27. 2020Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Informationcited by 13
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  31. 2023The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisationcited by 12
  32. 2021Speech Emotion Recognition using Semantic Informationcited by 11
  33. 2022Facial Action Unit Recognition With Multi-models Ensemblingcited by 10
  34. 2022Multi-modal Multi-label Facial Action Unit Detection with Transformercited by 10
  35. 2022Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challengescited by 10
  36. 2022Affective Behaviour Analysis Using Pretrained Model with Facial Prioricited by 10
  37. 2022Multi-label Transformer for Action Unit Detectioncited by 9
  38. 2022Multiple Emotion Descriptors Estimation at the ABAW3 Challengecited by 9

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Citing papers per year: 2024: 39; 2025: 20; 2026: 19.

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  1. 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognitioncited by 53
  2. 2024Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scanscited by 30
  3. 2024COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI Systemcited by 23
  4. 2024Affective Behaviour Analysis via Integrating Multi-Modal Knowledgecited by 18
  5. 2024Robust Light-Weight Facial Affective Behavior Recognition with CLIPcited by 16
  6. 2024Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkitcited by 16
  7. 2024Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion Recognitioncited by 15
  8. 2025HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognitioncited by 15
  9. 2024Joint Multimodal Transformer for Emotion Recognition in the Wildcited by 13
  10. 2025DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarioscited by 13
  11. 2024Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimationcited by 11
  12. 2024Textualized and Feature-based Models for Compound Multimodal Emotion Recognition in the Wildcited by 9
38 more
  1. 2024HSEmotion Team at the 6th ABAW Competition: Facial Expressions, Valence-Arousal and Emotion Intensity Predictioncited by 8
  2. 2024Exploring Facial Expression Recognition through Semi-Supervised Pretraining and Temporal Modelingcited by 8
  3. 2024Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A feasibility studycited by 8
  4. 2024Affective Behavior Analysis using Task-adaptive and AU-assisted Graph Networkcited by 8
  5. 2024Enhancing Facial Expression Recognition through Dual-Direction Attention Mixed Feature Networks: Application to 7th ABAW Challengecited by 8
  6. 2025MAVEN: Multi-modal Attention for Valence-Arousal Emotion Networkcited by 8
  7. 2024Affective Behaviour Analysis via Progressive Learningcited by 7
  8. 2024Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistencycited by 7
  9. 2024Boosting Continuous Emotion Recognition with Self-Pretraining using Masked Autoencoders, Temporal Convolutional Networks, and Transformerscited by 6
  10. 2024Efficient Feature Extraction and Late Fusion Strategy for Audiovisual Emotional Mimicry Intensity Estimationcited by 6
  11. 2024Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Predictioncited by 6
  12. 2024HSEmotion Team at the 7th ABAW Challenge: Multi-Task Learning and Compound Facial Expression Recognitioncited by 6
  13. 2024Ig3D: Integrating 3D Face Representations in Facial Expression Inferencecited by 6
  14. 2024Using Prompts to Guide Large Language Models in Imitating a Real Person's Language Stylecited by 6
  15. 2025Emotion Recognition with CLIP and Sequential Learningcited by 6
  16. 2025Mamba-VA: A Mamba-based Approach for Continuous Emotion Recognition in Valence-Arousal Spacecited by 6
  17. 2024Multimodal Fusion Method with Spatiotemporal Sequences and Relationship Learning for Valence-Arousal Estimationcited by 5
  18. 2025Semantic Matters: Multimodal Features for Affective Analysiscited by 5
  19. 2024SUN Team's Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognitioncited by 4
  20. 2024Emotion Recognition Using Transformers with Masked Learningcited by 4
  21. 2024Robust Facial Reactions Generation: An Emotion-Aware Framework with Modality Compensationcited by 4
  22. 2026Solution for 10th Competition on Ambivalence/Hesitancy (AH) Video Recognition Challenge using Divergence-Based Multimodal Fusioncited by 4
  23. 2024Emotic Masked Autoencoder with Attention Fusion for Facial Expression Recognitioncited by 3
  24. 2024AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contextscited by 3
  25. 2025Compound Expression Recognition via Large Vision-Language Modelscited by 3
  26. 2024Facial Affect Recognition based on Multi Architecture Encoder and Feature Fusion for the ABAW7 Challengecited by 2
  27. 2025Technical Approach for the EMI Challenge in the 8th Affective Behavior Analysis in-the-Wild Competitioncited by 2
  28. 2026Multimodal Emotion Regression with Multi-Objective Optimization and VAD-Aware Audio Modeling for the 10th ABAW EMI Trackcited by 2
  29. 2024Audio-Visual Compound Expression Recognition Method based on Late Modality Fusion and Rule-based Decisioncited by 1
  30. 2024Multimodal Fusion with Pre-Trained Model Features in Affective Behaviour Analysis In-the-wildcited by 1
  31. 2024Common Corruptions for Enhancing and Evaluating Robustness in Air-to-Air Visual Object Detectioncited by 1
  32. 2024Compound Expression Recognition via Multi Model Ensemble for the ABAW7 Challengecited by 1
  33. 2024Temporal Label Hierachical Network for Compound Emotion Recognitioncited by 1
  34. 2025Interactive Multimodal Fusion with Temporal Modelingcited by 1
  35. 2025V-NAW: Video-based Noise-aware Adaptive Weighting for Facial Expression Recognitioncited by 1
  36. 2025FIESTA: Fisher Information-based Efficient Selective Test-time Adaptationcited by 1
  37. 2025Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approachcited by 1
  38. 2025Grounding Emotion Recognition with Visual Prototypes: VEGA -- Revisiting CLIP in MERCcited by 1

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