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

Autor:	Dresvyanskiy, Denis, Ryumina, Elena, Kaya, Heysem, Markitantov, Maxim, Karpov, Alexey, Minker, Wolfgang
Rok vydání:	2020
Předmět:	Computer Science - Machine Learning Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	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%. Comment: Results on test dataset and acknowledgements were added
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2010.03692 Zobrazit plný text záznamu View this record from Arxiv