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Models/Monodepth

Monodepth

Reported on 8 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Computer Vision4 results

  • Depth EstimationonMid-Air Dataset
    Abs Rel· 2016-09-13
    0.3136
    best: 0.717 (Monodepth2)
    SOTA
    Unsupervised Monocular Depth Estimation with Left-Right ConsistencyarXiv:1609.03677
  • Depth EstimationonMid-Air Dataset
    RMSE· 2016-09-13
    13.595
    best: 8.8641 (M4Depth-d6 (VMD))
    SOTA
    Unsupervised Monocular Depth Estimation with Left-Right ConsistencyarXiv:1609.03677
  • Depth EstimationonMid-Air Dataset
    RMSE log· 2016-09-13
    0.438
    best: 0.188 (M4Depth+U)
    SOTA
    Unsupervised Monocular Depth Estimation with Left-Right ConsistencyarXiv:1609.03677
  • Depth EstimationonMid-Air Dataset
    SQ Rel· 2016-09-13
    8.7127
    best: 37.164 (Monodepth2)
    SOTA
    Unsupervised Monocular Depth Estimation with Left-Right ConsistencyarXiv:1609.03677

Methodology4 results

  • 3DonMid-Air Dataset
    Abs Rel· 2016-09-13
    0.3136
    best: 0.717 (Monodepth2)
    SOTA
    Unsupervised Monocular Depth Estimation with Left-Right ConsistencyarXiv:1609.03677
  • 3DonMid-Air Dataset
    RMSE· 2016-09-13
    13.595
    best: 8.8641 (M4Depth-d6 (VMD))
    SOTA
    Unsupervised Monocular Depth Estimation with Left-Right ConsistencyarXiv:1609.03677
  • 3DonMid-Air Dataset
    RMSE log· 2016-09-13
    0.438
    best: 0.188 (M4Depth+U)
    SOTA
    Unsupervised Monocular Depth Estimation with Left-Right ConsistencyarXiv:1609.03677
  • 3DonMid-Air Dataset
    SQ Rel· 2016-09-13
    8.7127
    best: 37.164 (Monodepth2)
    SOTA
    Unsupervised Monocular Depth Estimation with Left-Right ConsistencyarXiv:1609.03677