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Analysing Affective Behavior in the second ABAW2 Competition

arXiv 2106.15318 ↗First posted 14 Jun 2021cs.CVcited by 163

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Abstract (arXiv)

The Affective Behavior Analysis in-the-wild (ABAW2) 2021 Competition is the second -- following the first very successful ABAW Competition held in conjunction with IEEE FG 2020- Competition that aims at automatically analyzing affect. ABAW2 is split into three Challenges, each one addressing one of the three main behavior tasks of valence-arousal estimation, basic expression classification and action unit detection. All three Challenges are based on a common benchmark database, Aff-Wild2, which is a large scale in-the-wild database and the first one to be annotated for all these three tasks. In this paper, we describe this Competition, to be held in conjunction with ICCV 2021. We present the three Challenges, with the utilized Competition corpora. We outline the evaluation metrics and present the baseline system with its results. More information regarding the Competition is provided in the Competition site: https://ibug.doc.ic.ac.uk/resources/iccv-2021-2nd-abaw.

Key facts. Cited by 163 papers in the map (data through 7 Oct 2026). Builds on 34 of its 90 references that are in the map. First posted on arXiv 14 Jun 2021.

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34 of 90 references.

References · 34

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015WIDER FACE: A Face Detection Benchmarkcited by 297
  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. 2019Face Behavior a la carte: Expressions, Affect and Action Units in a Single Networkcited by 155
  9. 2019AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognitioncited by 87
  10. 2018Aff-Wild2: Extending the Aff-Wild Database for Affect Recognitioncited by 80
  11. 2020Deep Transparent Prediction through Latent Representation Analysiscited by 72
  12. 2020Two-Stream Aural-Visual Affect Analysis in the Wildcited by 51
22 more
  1. 2017SSH: Single Stage Headless Face Detectorcited by 40
  2. 2019Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Datasetcited by 39
  3. 2020Multitask Emotion Recognition with Incomplete Labelscited by 39
  4. 2018Photorealistic Facial Synthesis in the Dimensional Affect Spacecited by 33
  5. 2016FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognitioncited by 25
  6. 2018The OMG-Emotion Behavior Datasetcited by 25
  7. 2018A Multi-Task Learning & Generation Framework: Valence-Arousal, Action Units & Primary Expressionscited by 25
  8. 2016Peak-Piloted Deep Network for Facial Expression Recognitioncited by 22
  9. 2018Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigmcited by 20
  10. 2017Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognitioncited by 16
  11. 2018A Multi-component CNN-RNN Approach for Dimensional Emotion Recognition in-the-wildcited by 15
  12. 2020M3T: Multi-Modal Continuous Valence-Arousal Estimation in the Wildcited by 14
  13. 2020Affect Expression Behaviour Analysis in the Wild using Spatio-Channel Attention and Complementary Context Informationcited by 13
  14. 2018Efficient Augmentation via Data Subsamplingcited by 8
  15. 2020Emotion Recognition for In-the-wild Videoscited by 8
  16. 2020Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep Learning Modelcited by 8
  17. 2020A Multi-term and Multi-task Analyzing Framework for Affective Analysis in-the-wildcited by 8
  18. 2020An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wildcited by 8
  19. 2021Technical Report for Valence-Arousal Estimation on Affwild2 Datasetcited by 8
  20. 2020Multi-label Relation Modeling in Facial Action Units Detectioncited by 7
  21. 2020Multi-Label Class Balancing Algorithm for Action Unit Detectioncited by 7
  22. 2016How Deep Neural Networks Can Improve Emotion Recognition on Video Datacited by 3

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Citing papers per year: 2021: 21; 2022: 31; 2023: 30; 2024: 42; 2025: 23; 2026: 16.

163 papers.

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  1. 2022ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challengescited by 156
  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. 2024The 6th Affective Behavior Analysis in-the-wild (ABAW) Competitioncited by 78
  5. 2024Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyondcited by 60
  6. 20247th ABAW Competition: Multi-Task Learning and Compound Expression Recognitioncited by 53
  7. 2022Transformer-based Multimodal Information Fusion for Facial Expression Analysiscited by 49
  8. 2023A Deep Neural Architecture for Harmonizing 3-D Input Data Analysis and Decision Making in Medical Imagingcited by 39
  9. 2022Vision Transformer with Attentive Pooling for Robust Facial Expression Recognitioncited by 35
  10. 2022A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognitioncited by 33
  11. 2022MixAugment & Mixup: Augmentation Methods for Facial Expression Recognitioncited by 31
  12. 2024Domain adaptation, Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scanscited by 30
38 more
  1. 2021Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videoscited by 28
  2. 2021A Multi-modal and Multi-task Learning Method for Action Unit and Expression Recognitioncited by 24
  3. 2023Multi-modal Facial Affective Analysis based on Masked Autoencodercited by 23
  4. 2024COVID-19 Computer-aided Diagnosis through AI-assisted CT Imaging Analysis: Deploying a Medical AI Systemcited by 23
  5. 2022COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognitioncited by 22
  6. 2021Iterative Distillation for Better Uncertainty Estimates in Multitask Emotion Recognitioncited by 20
  7. 2022Continuous Emotion Recognition using Visual-audio-linguistic information: A Technical Report for ABAW3cited by 20
  8. 2022AI-MIA: COVID-19 Detection & Severity Analysis through Medical Imagingcited by 20
  9. 2023Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognitioncited by 20
  10. 2023BTDNet: a Multi-Modal Approach for Brain Tumor Radiogenomic Classificationcited by 20
  11. 2021A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysiscited by 19
  12. 2021Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competitioncited by 18
  13. 2022Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attentioncited by 18
  14. 2024Affective Behaviour Analysis via Integrating Multi-Modal Knowledgecited by 18
  15. 2022Coarse-to-Fine Cascaded Networks with Smooth Predicting for Video Facial Expression Recognitioncited by 17
  16. 2022Frame-level Prediction of Facial Expressions, Valence, Arousal and Action Units for Mobile Devicescited by 16
  17. 2023MMA-MRNNet: Harnessing Multiple Models of Affect and Dynamic Masked RNN for Precise Facial Expression Intensity Estimationcited by 16
  18. 2024Robust Light-Weight Facial Affective Behavior Recognition with CLIPcited by 16
  19. 2024Behaviour4All: in-the-wild Facial Behaviour Analysis Toolkitcited by 16
  20. 2021Continuous Emotion Recognition with Audio-visual Leader-follower Attentive Fusioncited by 15
  21. 2022Multi-modal Emotion Estimation for in-the-wild Videoscited by 15
  22. 2024Recursive Joint Cross-Modal Attention for Multimodal Fusion in Dimensional Emotion Recognitioncited by 15
  23. 2025HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognitioncited by 15
  24. 2024SAM2CLIP2SAM: Vision Language Model for Segmentation of 3D CT Scans for Covid-19 Detectioncited by 14
  25. 2024Joint Multimodal Transformer for Emotion Recognition in the Wildcited by 13
  26. 2025DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarioscited by 13
  27. 2021An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wildcited by 12
  28. 2021Multitask Multi-database Emotion Recognitioncited by 12
  29. 2025MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolutioncited by 12
  30. 2021Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Techniquecited by 10
  31. 2022Facial Action Unit Recognition With Multi-models Ensemblingcited by 10
  32. 2022Multi-modal Multi-label Facial Action Unit Detection with Transformercited by 10
  33. 2022Facial Affect Analysis: Learning from Synthetic Data & Multi-Task Learning Challengescited by 10
  34. 2022Multi-label Transformer for Action Unit Detectioncited by 9
  35. 2022Multiple Emotion Descriptors Estimation at the ABAW3 Challengecited by 9
  36. 2022An Ensemble Approach for Facial Expression Analysis in Videocited by 9
  37. 2022Facial Expression Recognition with Swin Transformercited by 9
  38. 2023MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognitioncited by 9

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