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Models/IGEV-Stereo

IGEV-Stereo

Reported on 21 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Computer Vision14 results

  • Depth EstimationonHelvipad
    Depth-MAE· 2023-03-12
    1.86
    best: 1.463 (DFI-OmniStereo)
    SOTA
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Depth EstimationonHelvipad
    Depth-RMSE· 2023-03-12
    4.474
    best: 3.767 (DFI-OmniStereo)
    SOTA
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Stereo Depth EstimationonHelvipad
    Depth-MAE· 2023-03-12
    1.86
    best: 1.463 (DFI-OmniStereo)
    SOTA
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Stereo Depth EstimationonHelvipad
    Depth-RMSE· 2023-03-12
    4.474
    best: 3.767 (DFI-OmniStereo)
    SOTA
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Depth EstimationonHelvipad
    Depth-LRCE· 2023-03-12
    1.203
    best: 1.809 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Depth EstimationonHelvipad
    Depth-MARE· 2023-03-12
    0.146
    best: 0.176 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Depth EstimationonHelvipad
    Disp-MAE· 2023-03-12
    0.225
    best: 0.158 (DFI-OmniStereo)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Depth EstimationonHelvipad
    Disp-MARE· 2023-03-12
    0.172
    best: 0.248 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Depth EstimationonHelvipad
    Disp-RMSE· 2023-03-12
    0.423
    best: 0.338 (DFI-OmniStereo)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Stereo Depth EstimationonHelvipad
    Depth-LRCE· 2023-03-12
    1.203
    best: 1.809 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Stereo Depth EstimationonHelvipad
    Depth-MARE· 2023-03-12
    0.146
    best: 0.176 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Stereo Depth EstimationonHelvipad
    Disp-MAE· 2023-03-12
    0.225
    best: 0.158 (DFI-OmniStereo)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Stereo Depth EstimationonHelvipad
    Disp-MARE· 2023-03-12
    0.172
    best: 0.248 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • Stereo Depth EstimationonHelvipad
    Disp-RMSE· 2023-03-12
    0.423
    best: 0.338 (DFI-OmniStereo)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615

Methodology7 results

  • 3DonHelvipad
    Depth-MAE· 2023-03-12
    1.86
    best: 1.463 (DFI-OmniStereo)
    SOTA
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • 3DonHelvipad
    Depth-RMSE· 2023-03-12
    4.474
    best: 3.767 (DFI-OmniStereo)
    SOTA
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • 3DonHelvipad
    Depth-LRCE· 2023-03-12
    1.203
    best: 1.809 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • 3DonHelvipad
    Depth-MARE· 2023-03-12
    0.146
    best: 0.176 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • 3DonHelvipad
    Disp-MAE· 2023-03-12
    0.225
    best: 0.158 (DFI-OmniStereo)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • 3DonHelvipad
    Disp-MARE· 2023-03-12
    0.172
    best: 0.248 (PSMNet)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615
  • 3DonHelvipad
    Disp-RMSE· 2023-03-12
    0.423
    best: 0.338 (DFI-OmniStereo)
    Iterative Geometry Encoding Volume for Stereo MatchingarXiv:2303.06615