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Models/MM-DFN

MM-DFN

Reported on 8 benchmarks across 1 task · 1 paper · 1 SOTA

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

Audio8 results

  • Emotion RecognitiononIEMOCAP
    Accuracy· 2022-03-04
    68.21
    best: 73.95 (SDT)
    SOTA
    MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsarXiv:2203.02385
  • Emotion RecognitiononCMU-MOSEI-Sentiment
    Accuracy· 2022-03-04
    45.29
    best: 46.82 (GraphSmile)
    MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsarXiv:2203.02385
  • Emotion RecognitiononCMU-MOSEI-Sentiment
    Weighted F1· 2022-03-04
    42.98
    best: 44.93 (GraphSmile)
    MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsarXiv:2203.02385
  • Emotion RecognitiononIEMOCAP-4
    Accuracy· 2022-03-04
    80.91
    best: 86.53 (GraphSmile)
    MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsarXiv:2203.02385
  • Emotion RecognitiononIEMOCAP-4
    Weighted F1· 2022-03-04
    80.83
    best: 86.52 (GraphSmile)
    MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsarXiv:2203.02385
  • Emotion RecognitiononMELD
    Accuracy· 2022-03-04
    62.49
    best: 68.7 (ELR-GNN)
    MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsarXiv:2203.02385
  • Emotion RecognitiononMELD
    Weighted-F1· 2022-03-04
    59.46
    best: 69.9 (ELR-GNN)
    MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsarXiv:2203.02385
  • Emotion RecognitiononIEMOCAP
    Weighted-F1· 2022-03-04
    68.18
    best: 74.08 (SDT)
    MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in ConversationsarXiv:2203.02385