Feb 9, 2022 · In this work, we propose a cross-modality attention-based convolutional neural network (CM-CNN) for facial expression recognition.

Abstract—Facial expressions are generally recognized based on hand-crafted and deep-learning-based features extracted from. RGB facial images.

Nov 30, 2020 · In contrast to the studies outlined above, this work uses a novel cross-modal attention mechanism to fuse audio-visual cues to detect ex-.

Oct 2, 2024 · In this study, an innovative multimodal emotion recognition network was introduced, which using continuous facial expressions and EEG signals.

Dec 29, 2023 · Facial Expression Recognition Through Cross Modality Attention Fusion https://okokprojects.com/ IEEE PROJECTS 2023-2024 TITLE LIST WhatsApp ...

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Dec 13, 2023 · This study delves into the refinement of multimodal emotion recognition models, with a focus on the integration of facial expressions and EEG ...

Aug 28, 2024 · Ni et al. (2022) proposed a cross-modal attention fusion network to enhance the spatial correlation between global grayscale, LBP, and depth ...

This paper proposes a multi-task joint learning network with a constraint fusion (called CFNet). To leverage the key features extracted from different tasks,

Leveraging the KS-Transformer, they further developed a cascaded cross-attention mechanism that enabled the highly efficient fusion of different modalities.