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/M-AVS

M-AVS

Reported on 8 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.

Computer Vision8 results

  • VideoonTvSum
    F1-score (Augmented)· uses extra data· 2017-08-31
    61.8
    best: 69 (CLIP-It)
    SOTA
    Video Summarization with Attention-Based Encoder-Decoder NetworksarXiv:1708.09545
  • VideoonTvSum
    F1-score (Canonical)· uses extra data· 2017-08-31
    61
    best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
    SOTA
    Video Summarization with Attention-Based Encoder-Decoder NetworksarXiv:1708.09545
  • VideoonSumMe
    F1-score (Augmented)· 2017-08-31
    46.1
    best: 56.9 (iPTNet)
    SOTA
    Video Summarization with Attention-Based Encoder-Decoder NetworksarXiv:1708.09545
  • VideoonSumMe
    F1-score (Canonical)· 2017-08-31
    44.4
    best: 57.1 (PGL-SUM (maximum learning capacity))
    SOTA
    Video Summarization with Attention-Based Encoder-Decoder NetworksarXiv:1708.09545
  • Video SummarizationonTvSum
    F1-score (Augmented)· uses extra data· 2017-08-31
    61.8
    best: 69 (CLIP-It)
    SOTA
    Video Summarization with Attention-Based Encoder-Decoder NetworksarXiv:1708.09545
  • Video SummarizationonTvSum
    F1-score (Canonical)· uses extra data· 2017-08-31
    61
    best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
    SOTA
    Video Summarization with Attention-Based Encoder-Decoder NetworksarXiv:1708.09545
  • Video SummarizationonSumMe
    F1-score (Augmented)· 2017-08-31
    46.1
    best: 56.9 (iPTNet)
    SOTA
    Video Summarization with Attention-Based Encoder-Decoder NetworksarXiv:1708.09545
  • Video SummarizationonSumMe
    F1-score (Canonical)· 2017-08-31
    44.4
    best: 57.1 (PGL-SUM (maximum learning capacity))
    SOTA
    Video Summarization with Attention-Based Encoder-Decoder NetworksarXiv:1708.09545