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Multimodal Emotion Recognition from Art Using Sequential Co-Attention

In this study, we present a multimodal emotion recognition architecture that uses both feature-level attention (sequential co-attention) and modality attention (weighted modality fusion) to classify emotion in art. The proposed architecture helps the model to focus on learning informative and refine...

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Autori principali: Tsegaye Misikir Tashu, Sakina Hajiyeva, Tomas Horvath
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2021-08-01
Serie:Journal of Imaging
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Accesso online:https://www.mdpi.com/2313-433X/7/8/157
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