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/VJMHT

VJMHT

Reported on 16 benchmarks across 2 tasks · 1 paper

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

Computer Vision16 results

  • VideoonTvSum
    F1-score (Augmented)· 2021-12-27
    61.9
    best: 69 (CLIP-It)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • VideoonTvSum
    F1-score (Canonical)· 2021-12-27
    60.9
    best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • VideoonTvSum
    Kendall's Tau· 2021-12-27
    0.097
    best: 0.203 (DMASum)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • VideoonTvSum
    Spearman's Rho· 2021-12-27
    0.105
    best: 0.267 (DMASum)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • VideoonSumMe
    F1-score (Augmented)· 2021-12-27
    51.7
    best: 56.9 (iPTNet)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • VideoonSumMe
    F1-score (Canonical)· 2021-12-27
    50.6
    best: 57.1 (PGL-SUM (maximum learning capacity))
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • VideoonSumMe
    Kendall's Tau· 2021-12-27
    0.106
    best: 0.246 (CSTA)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • VideoonSumMe
    Spearman's Rho· 2021-12-27
    0.108
    best: 0.274 (CSTA)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • Video SummarizationonTvSum
    F1-score (Augmented)· 2021-12-27
    61.9
    best: 69 (CLIP-It)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • Video SummarizationonTvSum
    F1-score (Canonical)· 2021-12-27
    60.9
    best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • Video SummarizationonTvSum
    Kendall's Tau· 2021-12-27
    0.097
    best: 0.203 (DMASum)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • Video SummarizationonTvSum
    Spearman's Rho· 2021-12-27
    0.105
    best: 0.267 (DMASum)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • Video SummarizationonSumMe
    F1-score (Augmented)· 2021-12-27
    51.7
    best: 56.9 (iPTNet)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • Video SummarizationonSumMe
    F1-score (Canonical)· 2021-12-27
    50.6
    best: 57.1 (PGL-SUM (maximum learning capacity))
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • Video SummarizationonSumMe
    Kendall's Tau· 2021-12-27
    0.106
    best: 0.246 (CSTA)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478
  • Video SummarizationonSumMe
    Spearman's Rho· 2021-12-27
    0.108
    best: 0.274 (CSTA)
    Video Joint Modelling Based on Hierarchical Transformer for Co-summarizationarXiv:2112.13478