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Models/iPTNet

iPTNet

Reported on 16 benchmarks across 2 tasks

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)
    64.2
    best: 69 (CLIP-It)
  • VideoonTvSum
    F1-score (Canonical)
    63.4
    best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
  • VideoonTvSum
    Kendall's Tau
    0.134
    best: 0.203 (DMASum)
  • VideoonTvSum
    Spearman's Rho
    0.163
    best: 0.267 (DMASum)
  • VideoonSumMe
    F1-score (Augmented)· uses extra data
    56.9
  • VideoonSumMe
    F1-score (Canonical)· uses extra data
    54.5
    best: 57.1 (PGL-SUM (maximum learning capacity))
  • VideoonSumMe
    Kendall's Tau· uses extra data
    0.101
    best: 0.246 (CSTA)
  • VideoonSumMe
    Spearman's Rho· uses extra data
    0.119
    best: 0.274 (CSTA)
  • Video SummarizationonTvSum
    F1-score (Augmented)
    64.2
    best: 69 (CLIP-It)
  • Video SummarizationonTvSum
    F1-score (Canonical)
    63.4
    best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
  • Video SummarizationonTvSum
    Kendall's Tau
    0.134
    best: 0.203 (DMASum)
  • Video SummarizationonTvSum
    Spearman's Rho
    0.163
    best: 0.267 (DMASum)
  • Video SummarizationonSumMe
    F1-score (Augmented)· uses extra data
    56.9
  • Video SummarizationonSumMe
    F1-score (Canonical)· uses extra data
    54.5
    best: 57.1 (PGL-SUM (maximum learning capacity))
  • Video SummarizationonSumMe
    Kendall's Tau· uses extra data
    0.101
    best: 0.246 (CSTA)
  • Video SummarizationonSumMe
    Spearman's Rho· uses extra data
    0.119
    best: 0.274 (CSTA)