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Models/Bae et al.

Bae et al.

Reported on 9 benchmarks across 1 task · 1 paper · 8 SOTA

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

Computer Vision9 results

  • Surface Normals EstimationonScanNetV2
    % < 11.25· 2021-09-20
    71.1
    best: 77.8 (Metric3Dv2 (g2, In-domain))
    SOTA
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881
  • Surface Normals EstimationonScanNetV2
    % < 22.5· 2021-09-20
    85.4
    best: 90.1 (Metric3Dv2 (g2, In-domain))
    SOTA
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881
  • Surface Normals EstimationonScanNetV2
    % < 30· 2021-09-20
    89.8
    best: 93.5 (Metric3Dv2 (g2, In-domain))
    SOTA
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881
  • Surface Normals EstimationonScanNetV2
    Mean Angle Error· 2021-09-20
    11.8
    best: 9.2 (Metric3Dv2 (g2, In-domain))
    SOTA
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881
  • Surface Normals EstimationonNYU Depth v2
    % < 11.25· 2021-09-20
    62.2
    best: 68.8 (Metric3Dv2(L, FT))
    SOTA
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881
  • Surface Normals EstimationonNYU Depth v2
    % < 22.5· 2021-09-20
    79.3
    best: 84.9 (Metric3Dv2(L, FT))
    SOTA
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881
  • Surface Normals EstimationonNYU Depth v2
    % < 30· 2021-09-20
    85.2
    best: 89.8 (Metric3Dv2(L, FT))
    SOTA
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881
  • Surface Normals EstimationonNYU Depth v2
    Mean Angle Error· 2021-09-20
    14.9
    best: 12 (Metric3Dv2(L, FT))
    SOTA
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881
  • Surface Normals EstimationonNYU Depth v2
    RMSE· 2021-09-20
    23.5
    best: 19.2 (Metric3Dv2(L, FT))
    Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal EstimationarXiv:2109.09881