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Models/CAF

CAF

Reported on 15 benchmarks across 3 tasks · 1 paper

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)
    68.16
    best: 71.24 (MRR ensemble (Naive))
  • DialogueonVisual Dialog v1.0 test-std
    Mean
    3.3
    best: 49.61 (qqhe)
  • DialogueonVisual Dialog v1.0 test-std
    NDCG (x 100)
    63.94
    best: 78.7 (Single)
  • DialogueonVisual Dialog v1.0 test-std
    R@1
    54.67
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • DialogueonVisual Dialog v1.0 test-std
    R@10
    93.1
    best: 95.08 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    R@5
    84.95
    best: 88.42 (Ensemble FGA + BERT)

Computer Vision6 results

  • Visual DialogonVisual Dialog v1.0 test-std
    MRR (x 100)
    68.16
    best: 71.24 (MRR ensemble (Naive))
  • Visual DialogonVisual Dialog v1.0 test-std
    Mean
    3.3
    best: 49.61 (qqhe)
  • Visual DialogonVisual Dialog v1.0 test-std
    NDCG (x 100)
    63.94
    best: 78.7 (Single)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@1
    54.67
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@10
    93.1
    best: 95.08 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@5
    84.95
    best: 88.42 (Ensemble FGA + BERT)

Medical3 results

  • Image GenerationonImageNet 64x64
    FID· 2024-11-01
    1.69
    best: 0.92 (SIMS)
    Constant Acceleration FlowarXiv:2411.00322
  • Image GenerationonImageNet 64x64
    Inception Score· 2024-11-01
    62.03
    best: 78.7 (LEGO)
    Constant Acceleration FlowarXiv:2411.00322
  • Image GenerationonImageNet 64x64
    NFE· 2024-11-01
    2
    best: 126 (SIMS)
    Constant Acceleration FlowarXiv:2411.00322