GraphCFC

Reported on 4 benchmarks across 1 task · 1 paper

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

Audio4 results

Emotion RecognitiononMELD
Accuracy· 2022-07-06
61.42
best: 68.7 (ELR-GNN)
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition arXiv:2207.12261
Emotion RecognitiononMELD
Weighted-F1· 2022-07-06
58.86
best: 69.9 (ELR-GNN)
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition arXiv:2207.12261
Emotion RecognitiononIEMOCAP
Accuracy· 2022-07-06
69.13
best: 73.95 (SDT)
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition arXiv:2207.12261
Emotion RecognitiononIEMOCAP
Weighted-F1· 2022-07-06
68.91
best: 74.08 (SDT)
GraphCFC: A Directed Graph Based Cross-Modal Feature Complementation Approach for Multimodal Conversational Emotion Recognition arXiv:2207.12261