M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation

Benchmark Model Rank Results
emotion-recognition-in-conversation-on-iemocapM2FNetWeighted-F1: 69.86Accuracy: 69.69
emotion-recognition-in-conversation-on-iemocapM2FNet-TextWeighted-F1: 66.2Accuracy: 66.05Macro-F1: 66.38
emotion-recognition-in-conversation-on-meldM2FNetWeighted-F1: 66.71Accuracy: 67.85
emotion-recognition-in-conversation-on-meldM2FNet-TextWeighted-F1: 66.23Accuracy: 67.24