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Models/SQLdepth (ConvNeXt-L)

SQLdepth (ConvNeXt-L)

Reported on 14 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 Vision7 results

  • Depth EstimationonKITTI Eigen split
    Delta < 1.25· 2023-09-01
    0.983
    best: 0.99 (SPIDepth)
    SOTA
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • Depth EstimationonKITTI Eigen split
    RMSE· 2023-09-01
    1.698
    best: 1.394 (SPIDepth)
    SOTA
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • Depth EstimationonKITTI Eigen split
    RMSE log· 2023-09-01
    0.064
    best: 0.048 (SPIDepth)
    SOTA
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • Depth EstimationonKITTI Eigen split
    absolute relative error· 2023-09-01
    0.043
    best: 0.029 (SPIDepth)
    SOTA
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^2· 2023-09-01
    0.998
    best: 0.999 (SPIDepth)
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • Depth EstimationonKITTI Eigen split
    Delta < 1.25^3· 2023-09-01
    0.999
    best: 1 (SPIDepth)
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • Depth EstimationonKITTI Eigen split
    Sq Rel· 2023-09-01
    0.105
    best: 0.224 (SfM-Revisited)
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526

Methodology7 results

  • 3DonKITTI Eigen split
    Delta < 1.25· 2023-09-01
    0.983
    best: 0.99 (SPIDepth)
    SOTA
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • 3DonKITTI Eigen split
    RMSE· 2023-09-01
    1.698
    best: 1.394 (SPIDepth)
    SOTA
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • 3DonKITTI Eigen split
    RMSE log· 2023-09-01
    0.064
    best: 0.048 (SPIDepth)
    SOTA
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • 3DonKITTI Eigen split
    absolute relative error· 2023-09-01
    0.043
    best: 0.029 (SPIDepth)
    SOTA
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • 3DonKITTI Eigen split
    Delta < 1.25^2· 2023-09-01
    0.998
    best: 0.999 (SPIDepth)
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • 3DonKITTI Eigen split
    Delta < 1.25^3· 2023-09-01
    0.999
    best: 1 (SPIDepth)
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526
  • 3DonKITTI Eigen split
    Sq Rel· 2023-09-01
    0.105
    best: 0.224 (SfM-Revisited)
    SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationarXiv:2309.00526