TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/Joyful

Joyful

Reported on 12 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Audio7 results

  • Emotion RecognitiononIEMOCAP-4
    Weighted F1· 2023-11-18
    85.7
    best: 86.52 (GraphSmile)
    SOTA
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Emotion RecognitiononIEMOCAP-4
    Accuracy· 2023-11-18
    85.6
    best: 86.53 (GraphSmile)
    SOTA
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Emotion RecognitiononIEMOCAP
    Weighted F1· 2023-11-18
    70.5
    best: 72.81 (GraphSmile)
    SOTA
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Emotion RecognitiononIEMOCAP-4
    Weighted F1· 2023-11-18
    85.7
    best: 86.52 (GraphSmile)
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Emotion RecognitiononMELD
    Accuracy· 2023-11-18
    62.53
    best: 68.7 (ELR-GNN)
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Emotion RecognitiononMELD
    Weighted F1· 2023-11-18
    61.77
    best: 66.71 (GraphSmile)
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Emotion RecognitiononIEMOCAP
    Accuracy· 2023-11-18
    71
    best: 73.95 (SDT)
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009

Computer Vision6 results

  • Multimodal Emotion RecognitiononIEMOCAP-4
    Accuracy· 2023-11-18
    85.6
    best: 86.53 (GraphSmile)
    SOTA
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Multimodal Emotion RecognitiononIEMOCAP-4
    Weighted F1· 2023-11-18
    85.7
    best: 86.52 (GraphSmile)
    SOTA
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Multimodal Emotion RecognitiononMELD
    Accuracy· 2023-11-18
    62.53
    best: 67.7 (GraphSmile)
    SOTA
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Multimodal Emotion RecognitiononIEMOCAP
    Accuracy· 2023-11-18
    71
    best: 72.77 (GraphSmile)
    SOTA
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Multimodal Emotion RecognitiononIEMOCAP
    Weighted F1· 2023-11-18
    70.5
    best: 72.81 (GraphSmile)
    SOTA
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009
  • Multimodal Emotion RecognitiononMELD
    Weighted F1· 2023-11-18
    61.77
    best: 66.71 (GraphSmile)
    Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion RecognitionarXiv:2311.11009