An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild

In this paper, we present our contribution to ABAW facial expression challenge. We report the proposed system and the official challenge results adhering to the challenge protocol. Using end-to-end deep learning and benefiting from transfer learning approaches, we reached a test set challenge perfor...

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Bibliographic Details
Published inarXiv.org
Main Authors Dresvyanskiy, Denis, Ryumina, Elena, Kaya, Heysem, Markitantov, Maxim, Karpov, Alexey, Minker, Wolfgang
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 02.11.2020
Subjects
Emotion recognition
Machine learning
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Summary:In this paper, we present our contribution to ABAW facial expression challenge. We report the proposed system and the official challenge results adhering to the challenge protocol. Using end-to-end deep learning and benefiting from transfer learning approaches, we reached a test set challenge performance measure of 42.10%.
ISSN:2331-8422