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Models/Depth Hints

Depth Hints

Reported on 10 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 Vision5 results

  • Depth EstimationonVA (Virtual Apartment)
    Absolute relative error (AbsRel)· 2019-09-19
    0.197
    best: 0.175 (DistDepth)
    SOTA
    Self-Supervised Monocular Depth HintsarXiv:1909.09051
  • Depth EstimationonVA (Virtual Apartment)
    Log root mean square error (RMSE_log)· 2019-09-19
    0.248
    best: 0.213 (DistDepth)
    SOTA
    Self-Supervised Monocular Depth HintsarXiv:1909.09051
  • Depth EstimationonVA (Virtual Apartment)
    Mean average error (MAE) · 2019-09-19
    0.291
    best: 0.253 (DistDepth)
    SOTA
    Self-Supervised Monocular Depth HintsarXiv:1909.09051
  • Depth EstimationonVA (Virtual Apartment)
    Root mean square error (RMSE)· 2019-09-19
    0.427
    best: 0.374 (DistDepth)
    SOTA
    Self-Supervised Monocular Depth HintsarXiv:1909.09051
  • Depth EstimationonKITTI Eigen split
    absolute relative error· 2019-09-19
    0.096
    best: 0.029 (SPIDepth)
    Self-Supervised Monocular Depth HintsarXiv:1909.09051

Methodology5 results

  • 3DonVA (Virtual Apartment)
    Absolute relative error (AbsRel)· 2019-09-19
    0.197
    best: 0.175 (DistDepth)
    SOTA
    Self-Supervised Monocular Depth HintsarXiv:1909.09051
  • 3DonVA (Virtual Apartment)
    Log root mean square error (RMSE_log)· 2019-09-19
    0.248
    best: 0.213 (DistDepth)
    SOTA
    Self-Supervised Monocular Depth HintsarXiv:1909.09051
  • 3DonVA (Virtual Apartment)
    Mean average error (MAE) · 2019-09-19
    0.291
    best: 0.253 (DistDepth)
    SOTA
    Self-Supervised Monocular Depth HintsarXiv:1909.09051
  • 3DonVA (Virtual Apartment)
    Root mean square error (RMSE)· 2019-09-19
    0.427
    best: 0.374 (DistDepth)
    SOTA
    Self-Supervised Monocular Depth HintsarXiv:1909.09051
  • 3DonKITTI Eigen split
    absolute relative error· 2019-09-19
    0.096
    best: 0.029 (SPIDepth)
    Self-Supervised Monocular Depth HintsarXiv:1909.09051