Cross-Modal Dynamic Transfer Learning for Multimodal Emotion Recognition

Cross-Modal Dynamic Transfer Learning for Multimodal Emotion Recognition

Multimodal Emotion Recognition is an important research area for developing human-centric applications, especially in the context of video platforms. Most existing models have attempted to develop sophisticated fusion techniques to integrate heterogeneous features from different modalities. However,...

Descripció completa

Dades bibliogràfiques
Autors principals: Soyeon Hong, Hyeoungguk Kang, Hyunsouk Cho
Format: Article
Idioma:English
Publicat: IEEE 2024-01-01
Col·lecció:IEEE Access
Matèries:
Affective computing
cross-modal knowledge transfer
model confidence
multimodal emotion recognition
Accés en línia:https://ieeexplore.ieee.org/document/10409167/

Internet

https://ieeexplore.ieee.org/document/10409167/

Ítems similars