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Milmer: a framework for multiple instance learning based multimodal emotion recognition
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DOI：10.1016/j.neucom.2026.134368.png)
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Abstract
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• We provide a comprehensive fusion of facial expressions and EEG for emotion recognition, with open-source code. • Transformer-based fusion effectively integrates visual and physiological modalities, outperforming simplistic methods. • Multi-instance learning and a fine-tuned Swin Transformer [1] extract facial features; cross-attention fuses with EEG.
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