Apr 14, 2022 · Existing works usually define IEC as a multi-class classification problem from features to emotions, while the subjectivity of user perception ...

Existing works usually define IEC as a multi-class classification problem from features to emotions, while the subjectivity of user perception is often ignored.

Learning user-emotion and user-feature couplings for image emotion classification · Abstract · Authors · BibTeX · References · Bibliographies · Reviews · Related ...

Existing works usually define IEC as a multi-class classification problem from features to emotions, while the subjectivity of user perception is often ignored.

Apr 14, 2022 · Over the past few years, image emotion classification (IEC) has received increasing research interest. Existing works usually define IEC as ...

Jan 25, 2023 · Yang et al. [5] proposed a multi-task deep framework to jointly predict emotion classification and emotion distribution. Xiong et al. [6] ...

Learning user-emotion and user-feature couplings for image emotion classification. Authors: Huang Yonggang Zheng Yunbo Wu Huiyan. Affiliation: 1.

The research suggests a new attention-based approach to multimodal emotion recognition. This technique integrates facial and speech features that have been ...

Mar 7, 2023 · This study compared emotion recognition accuracy based on individual and group EEGs using the proposed convolutional neural network model. Based ...