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Models/1

1

Reported on 18 benchmarks across 7 tasks · 2 papers · 6 SOTA

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

Computer Vision31 results

  • Deblurringon.
    10 Images, 4*4 Stitching, Exact Accuracy· 2022-01-23
    2
    SOTA
    1000x Faster Camera and Machine Vision with Ordinary DevicesarXiv:2201.09302
  • Visual DialogonVisual Dialog v1.0 test-std
    MRR (x 100)
    56.73
    best: 71.24 (MRR ensemble (Naive))
  • Visual DialogonVisual Dialog v1.0 test-std
    Mean
    6
    best: 49.61 (qqhe)
  • Visual DialogonVisual Dialog v1.0 test-std
    NDCG (x 100)
    72.99
    best: 78.7 (Single)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@1
    45.42
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@10
    81.73
    best: 95.08 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@5
    68.92
    best: 88.42 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    MRR (x 100)
    56.67
    best: 71.24 (MRR ensemble (Naive))
  • Visual DialogonVisual Dialog v1.0 test-std
    Mean
    5.98
    best: 49.61 (qqhe)
  • Visual DialogonVisual Dialog v1.0 test-std
    NDCG (x 100)
    72.8
    best: 78.7 (Single)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@1
    44.82
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@10
    81.9
    best: 95.08 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@5
    68.67
    best: 88.42 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    MRR (x 100)
    57.13
    best: 71.24 (MRR ensemble (Naive))
  • Visual DialogonVisual Dialog v1.0 test-std
    Mean
    5.85
    best: 49.61 (qqhe)
  • Visual DialogonVisual Dialog v1.0 test-std
    NDCG (x 100)
    72.33
    best: 78.7 (Single)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@1
    45.17
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@10
    82.4
    best: 95.08 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@5
    69.95
    best: 88.42 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    MRR (x 100)
    56.34
    best: 71.24 (MRR ensemble (Naive))
  • Visual DialogonVisual Dialog v1.0 test-std
    Mean
    6.04
    best: 49.61 (qqhe)
  • Visual DialogonVisual Dialog v1.0 test-std
    NDCG (x 100)
    71.82
    best: 78.7 (Single)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@1
    44.22
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@10
    81.7
    best: 95.08 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@5
    69.65
    best: 88.42 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    MRR (x 100)
    64.25
    best: 71.24 (MRR ensemble (Naive))
  • Visual DialogonVisual Dialog v1.0 test-std
    Mean
    4.11
    best: 49.61 (qqhe)
  • Visual DialogonVisual Dialog v1.0 test-std
    NDCG (x 100)
    60.19
    best: 78.7 (Single)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@1
    50.88
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@10
    90.6
    best: 95.08 (Ensemble FGA + BERT)
  • Visual DialogonVisual Dialog v1.0 test-std
    R@5
    80.92
    best: 88.42 (Ensemble FGA + BERT)

Speech30 results

  • DialogueonVisual Dialog v1.0 test-std
    MRR (x 100)
    56.73
    best: 71.24 (MRR ensemble (Naive))
  • DialogueonVisual Dialog v1.0 test-std
    Mean
    6
    best: 49.61 (qqhe)
  • DialogueonVisual Dialog v1.0 test-std
    NDCG (x 100)
    72.99
    best: 78.7 (Single)
  • DialogueonVisual Dialog v1.0 test-std
    R@1
    45.42
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • DialogueonVisual Dialog v1.0 test-std
    R@10
    81.73
    best: 95.08 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    R@5
    68.92
    best: 88.42 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    MRR (x 100)
    56.67
    best: 71.24 (MRR ensemble (Naive))
  • DialogueonVisual Dialog v1.0 test-std
    Mean
    5.98
    best: 49.61 (qqhe)
  • DialogueonVisual Dialog v1.0 test-std
    NDCG (x 100)
    72.8
    best: 78.7 (Single)
  • DialogueonVisual Dialog v1.0 test-std
    R@1
    44.82
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • DialogueonVisual Dialog v1.0 test-std
    R@10
    81.9
    best: 95.08 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    R@5
    68.67
    best: 88.42 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    MRR (x 100)
    57.13
    best: 71.24 (MRR ensemble (Naive))
  • DialogueonVisual Dialog v1.0 test-std
    Mean
    5.85
    best: 49.61 (qqhe)
  • DialogueonVisual Dialog v1.0 test-std
    NDCG (x 100)
    72.33
    best: 78.7 (Single)
  • DialogueonVisual Dialog v1.0 test-std
    R@1
    45.17
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • DialogueonVisual Dialog v1.0 test-std
    R@10
    82.4
    best: 95.08 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    R@5
    69.95
    best: 88.42 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    MRR (x 100)
    56.34
    best: 71.24 (MRR ensemble (Naive))
  • DialogueonVisual Dialog v1.0 test-std
    Mean
    6.04
    best: 49.61 (qqhe)
  • DialogueonVisual Dialog v1.0 test-std
    NDCG (x 100)
    71.82
    best: 78.7 (Single)
  • DialogueonVisual Dialog v1.0 test-std
    R@1
    44.22
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • DialogueonVisual Dialog v1.0 test-std
    R@10
    81.7
    best: 95.08 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    R@5
    69.65
    best: 88.42 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    MRR (x 100)
    64.25
    best: 71.24 (MRR ensemble (Naive))
  • DialogueonVisual Dialog v1.0 test-std
    Mean
    4.11
    best: 49.61 (qqhe)
  • DialogueonVisual Dialog v1.0 test-std
    NDCG (x 100)
    60.19
    best: 78.7 (Single)
  • DialogueonVisual Dialog v1.0 test-std
    R@1
    50.88
    best: 58.3 (2 Step: Factor Graph Attention + VD-Bert)
  • DialogueonVisual Dialog v1.0 test-std
    R@10
    90.6
    best: 95.08 (Ensemble FGA + BERT)
  • DialogueonVisual Dialog v1.0 test-std
    R@5
    80.92
    best: 88.42 (Ensemble FGA + BERT)

Methodology2 results

  • Contrastive Learningon10,000 People - Human Pose Recognition Data
    0..5sec· uses extra data· 2022-06-19
    1
    SOTA
    0/1 Deep Neural Networks via Block Coordinate DescentarXiv:2206.09379
  • 2D Classificationon.
    10 Images, 4*4 Stitching, Exact Accuracy· 2022-01-23
    2
    SOTA
    1000x Faster Camera and Machine Vision with Ordinary DevicesarXiv:2201.09302

Audio2 results

  • 10-shot image generationonFlyingThings3D
    0..5sec· 2022-06-19
    1
    SOTA
    0/1 Deep Neural Networks via Block Coordinate DescentarXiv:2206.09379
  • 10-shot image generationon.
    10 Images, 4*4 Stitching, Exact Accuracy· 2022-01-23
    2
    SOTA
    1000x Faster Camera and Machine Vision with Ordinary DevicesarXiv:2201.09302

Computer Code1 result

  • Blind Image Deblurringon.
    10 Images, 4*4 Stitching, Exact Accuracy· 2022-01-23
    2
    SOTA
    1000x Faster Camera and Machine Vision with Ordinary DevicesarXiv:2201.09302