SpikEmo stacks spiking self-attention layers on text, audio, and video features with DSC and correlation losses, reporting 65.92 and 71.50 weighted-F1 on MELD and IEMOCAP.
An iterative emotion interaction network for emotion recognition in conversations[C]//Proceedings of the 28th international conference on computational linguistics
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SpikEmo: Enhancing Emotion Recognition With Spiking Temporal Dynamics in Conversations
SpikEmo stacks spiking self-attention layers on text, audio, and video features with DSC and correlation losses, reporting 65.92 and 71.50 weighted-F1 on MELD and IEMOCAP.