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Models/VTDepthB2 (stereo supervision)

VTDepthB2 (stereo supervision)

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 unsupervised
    Delta < 1.25
    0.904
    best: 0.94 (SPIdepth)
  • Depth EstimationonKITTI Eigen split unsupervised
    Delta < 1.25^2
    0.965
    best: 0.973 (SPIdepth)
  • Depth EstimationonKITTI Eigen split unsupervised
    Delta < 1.25^3
    0.983
    best: 0.986 (Jasmine)
  • Depth EstimationonKITTI Eigen split unsupervised
    RMSE
    4.439
    best: 3.662 (SPIdepth)
  • Depth EstimationonKITTI Eigen split unsupervised
    RMSE log
    0.178
    best: 0.153 (SPIdepth)
  • Depth EstimationonKITTI Eigen split unsupervised
    Sq Rel
    0.743
    best: 0.785 (Dyna-DM)
  • Depth EstimationonKITTI Eigen split unsupervised
    absolute relative error
    0.099
    best: 0.071 (SPIdepth)

Methodology7 results

  • 3DonKITTI Eigen split unsupervised
    Delta < 1.25
    0.904
    best: 0.94 (SPIdepth)
  • 3DonKITTI Eigen split unsupervised
    Delta < 1.25^2
    0.965
    best: 0.973 (SPIdepth)
  • 3DonKITTI Eigen split unsupervised
    Delta < 1.25^3
    0.983
    best: 0.986 (Jasmine)
  • 3DonKITTI Eigen split unsupervised
    RMSE
    4.439
    best: 3.662 (SPIdepth)
  • 3DonKITTI Eigen split unsupervised
    RMSE log
    0.178
    best: 0.153 (SPIdepth)
  • 3DonKITTI Eigen split unsupervised
    Sq Rel
    0.743
    best: 0.785 (Dyna-DM)
  • 3DonKITTI Eigen split unsupervised
    absolute relative error
    0.099
    best: 0.071 (SPIdepth)