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Models/Ensemble FGA + BERT

Ensemble FGA + BERT

Reported on 12 benchmarks across 2 tasks

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

Speech6 results

  • DialogueonVisual Dialog v1.0 test-std
    MRR (x 100)
    70.95
    best: 71.24 (MRR ensemble (Naive))
  • DialogueonVisual Dialog v1.0 test-std
    Mean
    2.91
    best: 49.61 (qqhe)
  • DialogueonVisual Dialog v1.0 test-std
    NDCG (x 100)
    67.09
    best: 78.7 (Single)
  • DialogueonVisual Dialog v1.0 test-std
    R@1
    57.07
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • DialogueonVisual Dialog v1.0 test-std
    R@10
    95.08
  • DialogueonVisual Dialog v1.0 test-std
    R@5
    88.42

Computer Vision6 results

  • Visual DialogonVisual Dialog v1.0 test-std
    MRR (x 100)
    70.95
    best: 71.24 (MRR ensemble (Naive))
  • Visual DialogonVisual Dialog v1.0 test-std
    Mean
    2.91
    best: 49.61 (qqhe)
  • Visual DialogonVisual Dialog v1.0 test-std
    NDCG (x 100)
    67.09
    best: 78.7 (Single)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@1
    57.07
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@10
    95.08
  • Visual DialogonVisual Dialog v1.0 test-std
    R@5
    88.42