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Goldsmiths - University of London

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

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)

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Departments, Centres and Research Units:

Computing

Dates:

DateEvent
20 April 2017Accepted
25 July 2017Published

Event Location:

Hawaii, United States

Date range:

21 to July 26

Item ID:

20962

Date Deposited:

07 Sep 2017 10:46

Last Modified:

05 Oct 2017 12:00

URI: http://research.gold.ac.uk/id/eprint/20962

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