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Models/ViSiLv (pt)

ViSiLv (pt)

Reported on 6 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision6 results

  • VideoonFIVR-200K
    mAP (CSVR)· 2019-08-20
    0.854
    best: 0.879 (S2VS)
    SOTA
    ViSiL: Fine-grained Spatio-Temporal Video Similarity LearningarXiv:1908.07410
  • VideoonFIVR-200K
    mAP (DSVR)· 2019-08-20
    0.899
    best: 0.927 (S2VS)
    SOTA
    ViSiL: Fine-grained Spatio-Temporal Video Similarity LearningarXiv:1908.07410
  • VideoonFIVR-200K
    mAP (ISVR)· 2019-08-20
    0.723
    best: 0.746 (S2VS)
    SOTA
    ViSiL: Fine-grained Spatio-Temporal Video Similarity LearningarXiv:1908.07410
  • Video RetrievalonFIVR-200K
    mAP (CSVR)· 2019-08-20
    0.854
    best: 0.879 (S2VS)
    SOTA
    ViSiL: Fine-grained Spatio-Temporal Video Similarity LearningarXiv:1908.07410
  • Video RetrievalonFIVR-200K
    mAP (DSVR)· 2019-08-20
    0.899
    best: 0.927 (S2VS)
    SOTA
    ViSiL: Fine-grained Spatio-Temporal Video Similarity LearningarXiv:1908.07410
  • Video RetrievalonFIVR-200K
    mAP (ISVR)· 2019-08-20
    0.723
    best: 0.746 (S2VS)
    SOTA
    ViSiL: Fine-grained Spatio-Temporal Video Similarity LearningarXiv:1908.07410