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Models/AMEM

AMEM

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Speech4 results

  • DialogueonVisDial v0.9 val
    R@1· 2017-09-23
    48.53
    best: 55.16 (9xFGA (VGG))
    SOTA
    Visual Reference Resolution using Attention Memory for Visual DialogarXiv:1709.07992
  • DialogueonVisDial v0.9 val
    Mean Rank· 2017-09-23
    4.86
    best: 5.84 (HieCoAtt-QI)
    Visual Reference Resolution using Attention Memory for Visual DialogarXiv:1709.07992
  • DialogueonVisDial v0.9 val
    R@10· 2017-09-23
    87.43
    best: 92.95 (9xFGA (VGG))
    Visual Reference Resolution using Attention Memory for Visual DialogarXiv:1709.07992
  • DialogueonVisDial v0.9 val
    R@5· 2017-09-23
    78.66
    best: 86.26 (9xFGA (VGG))
    Visual Reference Resolution using Attention Memory for Visual DialogarXiv:1709.07992

Computer Vision4 results

  • Visual DialogonVisDial v0.9 val
    R@1· 2017-09-23
    48.53
    best: 55.16 (9xFGA (VGG))
    SOTA
    Visual Reference Resolution using Attention Memory for Visual DialogarXiv:1709.07992
  • Visual DialogonVisDial v0.9 val
    Mean Rank· 2017-09-23
    4.86
    best: 5.84 (HieCoAtt-QI)
    Visual Reference Resolution using Attention Memory for Visual DialogarXiv:1709.07992
  • Visual DialogonVisDial v0.9 val
    R@10· 2017-09-23
    87.43
    best: 92.95 (9xFGA (VGG))
    Visual Reference Resolution using Attention Memory for Visual DialogarXiv:1709.07992
  • Visual DialogonVisDial v0.9 val
    R@5· 2017-09-23
    78.66
    best: 86.26 (9xFGA (VGG))
    Visual Reference Resolution using Attention Memory for Visual DialogarXiv:1709.07992