M2FNet

Reported on 4 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Audio4 results

Emotion RecognitiononMELD
Accuracy· 2022-06-05
67.85
best: 68.7 (ELR-GNN)
SOTA
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation arXiv:2206.02187
Emotion RecognitiononMELD
Weighted-F1· 2022-06-05
66.71
best: 69.9 (ELR-GNN)
SOTA
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation arXiv:2206.02187
Emotion RecognitiononIEMOCAP
Accuracy· 2022-06-05
69.69
best: 73.95 (SDT)
SOTA
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation arXiv:2206.02187
Emotion RecognitiononIEMOCAP
Weighted-F1· 2022-06-05
69.86
best: 74.08 (SDT)
M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation arXiv:2206.02187