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Found 2 papers, 2 papers with code
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild
In this work we tackle the task of video-based audio-visual emotion recognition, within the premises of the 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW2).
Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition
To evaluate the performance of our method under real-world conditions we perform extensive experiments on the AffectNet and Aff-Wild2 datasets.
Ranked #9 on
Facial Expression Recognition (FER)
on AffectNet
(Accuracy (7 emotion) metric)
Facial Expression Recognition
Facial Expression Recognition (FER)
