Aff-Wild: Valence and Arousal ‘in-the-wild’ Challenge

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Stefanos, Zafeiriou; Dimitrios, Kollias; Mihalis, Nicolao; Athanasios, Papaioannou; Guoying, Zhao and Irene, Kotsia. 2017. 'Aff-Wild: Valence and Arousal ‘in-the-wild’ Challenge'. In: CVPR 2017. Hawaii, United States 21 to July 26. [Conference or Workshop Item]

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Abstract or Description

The Affect-in-the-Wild (Aff-Wild) Challenge proposes a new comprehensive benchmark for assessing the performance of facial affect/behaviour analysis/understanding ‘in-the-wild’. The Aff-wild benchmark contains about 300 videos (over 2,000 minutes of data) annotated with regards to valence and arousal, all captured ‘in-the-wild’ (the main source being Youtube videos). The paper presents the database description, the experimental set up, the baseline method used for the Challenge and finally the summary of the performance of the different methods submitted to the Affect-in-the-Wild Challenge for Valence and Arousal estimation. The challenge demonstrates that meticulously designed deep neural networks can achieve very good performance when trained with in-the-wild data.

Item Type:

Conference or Workshop Item (Talk)