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Models/jkl

jkl

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)
    59.96
    best: 71.24 (MRR ensemble (Naive))
  • DialogueonVisual Dialog v1.0 test-std
    Mean
    5.12
    best: 49.61 (qqhe)
  • DialogueonVisual Dialog v1.0 test-std
    NDCG (x 100)
    53.2
    best: 78.7 (Single)
  • DialogueonVisual Dialog v1.0 test-std
    R@1
    46.35
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • DialogueonVisual Dialog v1.0 test-std
    R@10
    86.48
    best: 95.08 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    R@5
    76.78
    best: 88.42 (Ensemble FGA + BERT)

Computer Vision6 results

  • Visual DialogonVisual Dialog v1.0 test-std
    MRR (x 100)
    59.96
    best: 71.24 (MRR ensemble (Naive))
  • Visual DialogonVisual Dialog v1.0 test-std
    Mean
    5.12
    best: 49.61 (qqhe)
  • Visual DialogonVisual Dialog v1.0 test-std
    NDCG (x 100)
    53.2
    best: 78.7 (Single)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@1
    46.35
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@10
    86.48
    best: 95.08 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@5
    76.78
    best: 88.42 (Ensemble FGA + BERT)