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Models/MonoIndoor

MonoIndoor

Reported on 10 benchmarks across 2 tasks · 1 paper · 10 SOTA

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

Computer Vision5 results

  • Depth EstimationonNYU-Depth V2 self-supervised
    Absolute relative error (AbsRel)· 2021-07-26
    0.134
    best: 0.126 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429
  • Depth EstimationonNYU-Depth V2 self-supervised
    Root mean square error (RMSE)· 2021-07-26
    0.526
    best: 0.494 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429
  • Depth EstimationonNYU-Depth V2 self-supervised
    delta_1· 2021-07-26
    82.3
    best: 84.5 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429
  • Depth EstimationonNYU-Depth V2 self-supervised
    delta_2· 2021-07-26
    95.8
    best: 96.5 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429
  • Depth EstimationonNYU-Depth V2 self-supervised
    delta_3· 2021-07-26
    98.9
    best: 99.1 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429

Methodology5 results

  • 3DonNYU-Depth V2 self-supervised
    Absolute relative error (AbsRel)· 2021-07-26
    0.134
    best: 0.126 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429
  • 3DonNYU-Depth V2 self-supervised
    Root mean square error (RMSE)· 2021-07-26
    0.526
    best: 0.494 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429
  • 3DonNYU-Depth V2 self-supervised
    delta_1· 2021-07-26
    82.3
    best: 84.5 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429
  • 3DonNYU-Depth V2 self-supervised
    delta_2· 2021-07-26
    95.8
    best: 96.5 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429
  • 3DonNYU-Depth V2 self-supervised
    delta_3· 2021-07-26
    98.9
    best: 99.1 (IndoorDepth)
    SOTA
    MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor EnvironmentsarXiv:2107.12429