ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges

• URL: http://arxiv.org/abs/2202.10659v1
• Date: Tue, 22 Feb 2022 04:02:17 GMT
• Title: ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges
• Authors: Dimitrios Kollias
• Abstract summary: This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
• Score: 4.273075747204267
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022. The 3rd ABAW Competition is a continuation of the Competitions held at ICCV 2021, IEEE FG 2020 and IEEE CVPR 2017 Conferences, and aims at automatically analyzing affect. This year the Competition encompasses four Challenges: i) uni-task Valence-Arousal Estimation, ii) uni-task Expression Classification, iii) uni-task Action Unit Detection, and iv) Multi-Task-Learning. All the 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 in terms of valence-arousal, expressions and action units. In this paper, we present the four Challenges, with the utilized Competition corpora, we outline the evaluation metrics and present the baseline systems along with their obtained results.

Related papers

• 7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition [46.730335566738006]
  This paper describes the 7th Affective Behavior Analysis in-the-wild (ABAW) Competition. The ABAW Competition addresses novel challenges in understanding human expressions and behaviors.
  arXiv  Detail & Related papers  (2024-07-04T11:04:29Z)
• The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition [53.718777420180395]
  This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition. The 6th ABAW Competition addresses contemporary challenges in understanding human emotions and behaviors.
  arXiv  Detail & Related papers  (2024-02-29T16:49:38Z)
• ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges [62.413819189049946]
  5th Affective Behavior Analysis in-the-wild (ABAW) Competition is part of the respective ABAW Workshop which will be held in conjunction with IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2023. For this year's Competition, we feature two corpora: i) an extended version of the Aff-Wild2 database and ii) the Hume-Reaction dataset. The latter dataset is an audiovisual one in which reactions of individuals to emotional stimuli have been annotated with respect to seven emotional expression intensities.
  arXiv  Detail & Related papers  (2023-03-02T18:58:15Z)
• ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges [4.273075747204267]
  This paper describes the fourth Affective Behavior Analysis in-the-wild (ABAW) Competition, held in conjunction with European Conference on Computer Vision (ECCV), 2022.
  arXiv  Detail & Related papers  (2022-07-03T22:43:33Z)
• NTIRE 2021 Multi-modal Aerial View Object Classification Challenge [88.89190054948325]
  We introduce the first Challenge on Multi-modal Aerial View Object Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR. This challenge is composed of two different tracks using EO and SAR imagery. We discuss the top methods submitted for this competition and evaluate their results on our blind test set.
  arXiv  Detail & Related papers  (2021-07-02T16:55:08Z)
• Analysing Affective Behavior in the second ABAW2 Competition [70.86998050535944]
  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.
  arXiv  Detail & Related papers  (2021-06-14T11:30:19Z)
• Analysing Affective Behavior in the First ABAW 2020 Competition [49.90617840789334]
  The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is the first Competition aiming at automatic analysis of the three main behavior tasks. 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 outline the evaluation metrics, present both the baseline system and the top-3 performing teams' methodologies per Challenge and finally present their obtained results.
  arXiv  Detail & Related papers  (2020-01-30T15:41:14Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.