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Models/BDCN

BDCN

Reported on 6 benchmarks across 2 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 Vision3 results

  • Edge DetectiononBRIND
    ODS· 2019-02-28
    0.789
    best: 0.79 (LDC)
    SOTA
    Bi-Directional Cascade Network for Perceptual Edge DetectionarXiv:1902.10903
  • Edge DetectiononBIPED
    ODS· 2019-02-28
    0.89
    best: 0.916 (DDN)
    SOTA
    Bi-Directional Cascade Network for Perceptual Edge DetectionarXiv:1902.10903
  • Edge DetectiononMDBD
    ODS· 2019-02-28
    0.887
    best: 0.894 (DexiNed-a)
    SOTA
    Bi-Directional Cascade Network for Perceptual Edge DetectionarXiv:1902.10903

Methodology3 results

  • 2D Object DetectiononBRIND
    ODS· 2019-02-28
    0.789
    best: 0.79 (LDC)
    SOTA
    Bi-Directional Cascade Network for Perceptual Edge DetectionarXiv:1902.10903
  • 2D Object DetectiononBIPED
    ODS· 2019-02-28
    0.89
    best: 0.916 (DDN)
    SOTA
    Bi-Directional Cascade Network for Perceptual Edge DetectionarXiv:1902.10903
  • 2D Object DetectiononMDBD
    ODS· 2019-02-28
    0.887
    best: 0.894 (DexiNed-a)
    SOTA
    Bi-Directional Cascade Network for Perceptual Edge DetectionarXiv:1902.10903