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Models/LightedDepth (Video Method)

LightedDepth (Video Method)

Reported on 14 benchmarks across 2 tasks

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

Computer Vision7 results

  • Depth EstimationonKITTI Eigen split
    Delta < 1.25
    0.989
    best: 0.99 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^2
    0.998
    best: 0.999 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^3
    0.999
    best: 1 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    RMSE
    1.748
    best: 1.394 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    RMSE log
    0.059
    best: 0.048 (SPIDepth)
  • Depth EstimationonKITTI Eigen split
    Sq Rel
    0.107
    best: 0.224 (SfM-Revisited)
  • Depth EstimationonKITTI Eigen split
    absolute relative error
    0.041
    best: 0.029 (SPIDepth)

Methodology7 results

  • 3DonKITTI Eigen split
    Delta < 1.25
    0.989
    best: 0.99 (SPIDepth)
  • 3DonKITTI Eigen split
    Delta < 1.25^2
    0.998
    best: 0.999 (SPIDepth)
  • 3DonKITTI Eigen split
    Delta < 1.25^3
    0.999
    best: 1 (SPIDepth)
  • 3DonKITTI Eigen split
    RMSE
    1.748
    best: 1.394 (SPIDepth)
  • 3DonKITTI Eigen split
    RMSE log
    0.059
    best: 0.048 (SPIDepth)
  • 3DonKITTI Eigen split
    Sq Rel
    0.107
    best: 0.224 (SfM-Revisited)
  • 3DonKITTI Eigen split
    absolute relative error
    0.041
    best: 0.029 (SPIDepth)