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Models/CDN-GANet Deep

CDN-GANet Deep

Reported on 6 benchmarks across 4 tasks · 1 paper · 4 SOTA

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

Computer Vision5 results

  • Depth EstimationonKITTI2015
    three pixel error· 2020-07-06
    1.92
    best: 1.69 (3D-MobileStereoNet)
    SOTA
    Wasserstein Distances for Stereo Disparity EstimationarXiv:2007.03085
  • Stereo Disparity EstimationonScene Flow
    three pixel error· 2020-07-06
    2.98
    best: 2.21 (HITNet XL)
    SOTA
    Wasserstein Distances for Stereo Disparity EstimationarXiv:2007.03085
  • Stereo Depth EstimationonKITTI2015
    three pixel error· 2020-07-06
    1.92
    best: 1.69 (3D-MobileStereoNet)
    SOTA
    Wasserstein Distances for Stereo Disparity EstimationarXiv:2007.03085
  • Stereo Disparity EstimationonScene Flow
    EPE· 2020-07-06
    0.7
    best: 0.87 (AANet)
    Wasserstein Distances for Stereo Disparity EstimationarXiv:2007.03085
  • Stereo Disparity EstimationonScene Flow
    one pixel error· 2020-07-06
    7.7
    best: 4.09 (HITNet XL)
    Wasserstein Distances for Stereo Disparity EstimationarXiv:2007.03085

Methodology1 result

  • 3DonKITTI2015
    three pixel error· 2020-07-06
    1.92
    best: 1.69 (3D-MobileStereoNet)
    SOTA
    Wasserstein Distances for Stereo Disparity EstimationarXiv:2007.03085