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Models/A2Summ

A2Summ

Reported on 18 benchmarks across 4 tasks · 1 paper · 2 SOTA

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

Computer Vision12 results

  • VideoonSumMe
    F1-score (Canonical)· 2023-03-13
    55
    best: 57.1 (PGL-SUM (maximum learning capacity))
    SOTA
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Video SummarizationonSumMe
    F1-score (Canonical)· 2023-03-13
    55
    best: 57.1 (PGL-SUM (maximum learning capacity))
    SOTA
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • VideoonTvSum
    F1-score (Canonical)· 2023-03-13
    63.4
    best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • VideoonTvSum
    Kendall's Tau· 2023-03-13
    0.137
    best: 0.203 (DMASum)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • VideoonTvSum
    Spearman's Rho· 2023-03-13
    0.165
    best: 0.267 (DMASum)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • VideoonSumMe
    Kendall's Tau· 2023-03-13
    0.108
    best: 0.246 (CSTA)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • VideoonSumMe
    Spearman's Rho· 2023-03-13
    0.129
    best: 0.274 (CSTA)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Video SummarizationonTvSum
    F1-score (Canonical)· 2023-03-13
    63.4
    best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Video SummarizationonTvSum
    Kendall's Tau· 2023-03-13
    0.137
    best: 0.203 (DMASum)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Video SummarizationonTvSum
    Spearman's Rho· 2023-03-13
    0.165
    best: 0.267 (DMASum)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Video SummarizationonSumMe
    Kendall's Tau· 2023-03-13
    0.108
    best: 0.246 (CSTA)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Video SummarizationonSumMe
    Spearman's Rho· 2023-03-13
    0.129
    best: 0.274 (CSTA)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284

Knowledge Base3 results

  • Text SummarizationonCNN / Daily Mail
    ROUGE-1· 2023-03-13
    44.11
    best: 48.18 (Scrambled code + broken (alter))
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Text SummarizationonCNN / Daily Mail
    ROUGE-2· 2023-03-13
    20.31
    best: 24.02 (Pegasus)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Text SummarizationonCNN / Daily Mail
    ROUGE-L· 2023-03-13
    35.92
    best: 45.35 (Scrambled code + broken (alter))
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284

Natural Language Processing3 results

  • Extractive Text SummarizationonCNN / Daily Mail
    ROUGE-1· 2023-03-13
    44.11
    best: 44.68 (HAHSum)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Extractive Text SummarizationonCNN / Daily Mail
    ROUGE-2· 2023-03-13
    20.31
    best: 21.3 (HAHSum)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284
  • Extractive Text SummarizationonCNN / Daily Mail
    ROUGE-L· 2023-03-13
    35.92
    best: 40.75 (HAHSum)
    Align and Attend: Multimodal Summarization with Dual Contrastive LossesarXiv:2303.07284