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.
翻译:2021年的激烈行为分析(ABAW2)竞争是第二个 -- -- 在第一次与IEEE FG 2020年竞争联合举行的非常成功的ABAW竞争(旨在自动分析影响)之后,第一次与IEEE FG 2020年竞争(旨在自动分析影响的ABAW2)竞争(ABAW2)竞争(ABAW2)竞争(ABAW2 2021)竞争(ABAWAV2)被分为三个挑战,每个挑战都涉及价值激励估计、基本表达分类和行为单位检测这三大行为任务之一。所有这三项挑战都基于一个共同的基准数据库(Aff-Wild2),这是一个规模庞大的网上数据库,也是第一个对所有这三项任务进行附加说明的数据库。我们在本文件中描述了这次竞争与ICCV 2021年一起举行的竞争。我们介绍这三项挑战,同时介绍利用的竞争团。我们概述了评价指标,并介绍了基线系统及其结果。竞争网站提供了更多有关竞争的资料:https://ibugg.doc.ic.a.uk/res/iccv-2021-2nd-abaw。