论文标题
分析2020年ABAW的情感行为
Analysing Affective Behavior in the First ABAW 2020 Competition
论文作者
论文摘要
情感行为分析（ABAW）2020竞争是旨在自动分析价估计的三个主要行为任务，基本表达识别和动作单位检测的第一个竞赛。它被分为三个挑战，每个挑战都解决了各自的行为任务。对于挑战，我们提供了一个常见的基准数据库Aff-Wild2，该数据库是一个大规模的野外数据库，也是所有这三个任务的第一个注释。在本文中，我们描述了这项竞赛，将与2020年5月在阿根廷布宜诺斯艾利斯举行的IEEE面对面和姿态认可的IEEE会议举行。我们提出了三个挑战，并通过利用的竞争语料库提出。我们概述了评估指标，同时介绍了基线系统和前三名表现团队的每项挑战方法，并最终提出了他们获得的结果。有关竞争的更多信息，每个挑战的排行榜以及访问使用数据库的详细信息，请在竞争站点中提供：http：//ibug.c.ic.ic.ac.ac.uk/resources/fg-2020-competition-aptive-beavior-behavior-analyasis-analysis。
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.
