MMQ-Net combines masked modality queries, category queries, and interference queries in one transformer and reports 90 to 99 percent accuracy on emotion classification under missing physiological data.
In: ICASSP 20 19-2019 IEEE Inter- national Conference on Acoustics, Speech and Signal Proces sing (ICASSP)
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Multi-Masked Querying Network for Robust Emotion Recognition from Incomplete Multi-Modal Physiological Signals
MMQ-Net combines masked modality queries, category queries, and interference queries in one transformer and reports 90 to 99 percent accuracy on emotion classification under missing physiological data.