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Models/DPT

DPT

Reported on 24 benchmarks across 3 tasks · 1 paper · 2 SOTA

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

Medical20 results

  • Image GenerationonImageNet 256x256 - 1 labeled data per class
    FID-50k
    4
  • Image GenerationonImageNet 256x256 - 1 labeled data per class
    IS
    178.05
  • Image GenerationonImageNet 256x256 - 1 labeled data per class
    Precision
    0.81
  • Image GenerationonImageNet 256x256 - 1 labeled data per class
    Recall
    0.53
  • Image GenerationonImageNet 256x256 - 1 labeled data per class
    sFID
    6.56
  • Image GenerationonImageNet 256x256 - 1% labeled data
    FID-50k
    3.35
  • Image GenerationonImageNet 256x256 - 1% labeled data
    IS
    223.09
  • Image GenerationonImageNet 256x256 - 1% labeled data
    Precision
    0.83
  • Image GenerationonImageNet 256x256 - 1% labeled data
    Recall
    0.52
  • Image GenerationonImageNet 256x256 - 1% labeled data
    sFID
    6.66
  • Image GenerationonImageNet 256x256 - 2 labeled data per class
    FID-50k
    3.44
  • Image GenerationonImageNet 256x256 - 2 labeled data per class
    IS
    199.74
  • Image GenerationonImageNet 256x256 - 2 labeled data per class
    Precision
    0.82
  • Image GenerationonImageNet 256x256 - 2 labeled data per class
    Recall
    0.53
  • Image GenerationonImageNet 256x256 - 2 labeled data per class
    sFID
    6.58
  • Image GenerationonImageNet 256x256 - 5 labeled data per class
    FID-50k
    3.37
  • Image GenerationonImageNet 256x256 - 5 labeled data per class
    IS
    217.53
  • Image GenerationonImageNet 256x256 - 5 labeled data per class
    Precision
    0.83
  • Image GenerationonImageNet 256x256 - 5 labeled data per class
    Recall
    0.52
  • Image GenerationonImageNet 256x256 - 5 labeled data per class
    sFID
    6.71

Computer Vision2 results

  • Depth EstimationonETH3D
    Delta < 1.25· 2021-03-24
    0.0946
    best: 0.981 (Distill Any Depth)
    SOTA
    Vision Transformers for Dense PredictionarXiv:2103.13413
  • Depth EstimationonETH3D
    absolute relative error· 2021-03-24
    0.078
    best: 0.0121 (HDN)
    Vision Transformers for Dense PredictionarXiv:2103.13413

Methodology2 results

  • 3DonETH3D
    Delta < 1.25· 2021-03-24
    0.0946
    best: 0.981 (Distill Any Depth)
    SOTA
    Vision Transformers for Dense PredictionarXiv:2103.13413
  • 3DonETH3D
    absolute relative error· 2021-03-24
    0.078
    best: 0.0121 (HDN)
    Vision Transformers for Dense PredictionarXiv:2103.13413