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Models/CADC

CADC

Reported on 126 benchmarks across 7 tasks · 1 paper · 56 SOTA

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

Methodology72 results

  • 3DonCoSOD3k
    S-measure· 2021-10-01
    0.815
    best: 0.851 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSOD3k
    max F-measure· 2021-10-01
    0.778
    best: 0.835 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoCA
    S-measure· 2021-10-01
    0.68
    best: 0.738 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoCA
    max F-measure· 2021-10-01
    0.55
    best: 0.637 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSal2015
    MAE· 2021-10-01
    0.064
    best: 0.045 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSal2015
    S-measure· 2021-10-01
    0.866
    best: 0.897 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSal2015
    max E-measure· 2021-10-01
    0.906
    best: 0.936 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSal2015
    max F-measure· 2021-10-01
    0.864
    best: 0.905 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSOD3k
    S-measure· 2021-10-01
    0.815
    best: 0.851 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSOD3k
    max F-measure· 2021-10-01
    0.778
    best: 0.835 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoCA
    S-measure· 2021-10-01
    0.68
    best: 0.738 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoCA
    max F-measure· 2021-10-01
    0.55
    best: 0.637 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSal2015
    MAE· 2021-10-01
    0.064
    best: 0.045 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSal2015
    S-measure· 2021-10-01
    0.866
    best: 0.897 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSal2015
    max E-measure· 2021-10-01
    0.906
    best: 0.936 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSal2015
    max F-measure· 2021-10-01
    0.864
    best: 0.905 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSOD3k
    S-measure· 2021-10-01
    0.815
    best: 0.851 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSOD3k
    max F-measure· 2021-10-01
    0.778
    best: 0.835 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoCA
    S-measure· 2021-10-01
    0.68
    best: 0.738 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoCA
    max F-measure· 2021-10-01
    0.55
    best: 0.637 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSal2015
    MAE· 2021-10-01
    0.064
    best: 0.045 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSal2015
    S-measure· 2021-10-01
    0.866
    best: 0.897 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSal2015
    max E-measure· 2021-10-01
    0.906
    best: 0.936 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSal2015
    max F-measure· 2021-10-01
    0.864
    best: 0.905 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSOD3k
    S-measure· 2021-10-01
    0.815
    best: 0.851 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSOD3k
    max F-measure· 2021-10-01
    0.778
    best: 0.835 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoCA
    S-measure· 2021-10-01
    0.68
    best: 0.738 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoCA
    max F-measure· 2021-10-01
    0.55
    best: 0.637 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSal2015
    MAE· 2021-10-01
    0.064
    best: 0.045 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSal2015
    S-measure· 2021-10-01
    0.866
    best: 0.897 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSal2015
    max E-measure· 2021-10-01
    0.906
    best: 0.936 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSal2015
    max F-measure· 2021-10-01
    0.864
    best: 0.905 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSOD3k
    MAE· 2021-10-01
    0.087
    best: 0.062 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSOD3k
    max E-measure· 2021-10-01
    0.854
    best: 0.901 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSOD3k
    mean E-measure· 2021-10-01
    0.823
    best: 0.881 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSOD3k
    mean F-measure· 2021-10-01
    0.742
    best: 0.815 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoCA
    MAE· 2021-10-01
    0.133
    best: 0.081 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoCA
    Mean F-measure· 2021-10-01
    0.503
    best: 0.612 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoCA
    max E-measure· 2021-10-01
    0.745
    best: 0.814 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoCA
    mean E-measure· 2021-10-01
    0.69
    best: 0.783 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSal2015
    mean E-measure· 2021-10-01
    0.874
    best: 0.922 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 3DonCoSal2015
    mean F-measure· 2021-10-01
    0.825
    best: 0.883 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSOD3k
    MAE· 2021-10-01
    0.087
    best: 0.062 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSOD3k
    max E-measure· 2021-10-01
    0.854
    best: 0.901 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSOD3k
    mean E-measure· 2021-10-01
    0.823
    best: 0.881 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSOD3k
    mean F-measure· 2021-10-01
    0.742
    best: 0.815 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoCA
    MAE· 2021-10-01
    0.133
    best: 0.081 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoCA
    Mean F-measure· 2021-10-01
    0.503
    best: 0.612 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoCA
    max E-measure· 2021-10-01
    0.745
    best: 0.814 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoCA
    mean E-measure· 2021-10-01
    0.69
    best: 0.783 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSal2015
    mean E-measure· 2021-10-01
    0.874
    best: 0.922 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D ClassificationonCoSal2015
    mean F-measure· 2021-10-01
    0.825
    best: 0.883 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSOD3k
    MAE· 2021-10-01
    0.087
    best: 0.062 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSOD3k
    max E-measure· 2021-10-01
    0.854
    best: 0.901 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSOD3k
    mean E-measure· 2021-10-01
    0.823
    best: 0.881 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSOD3k
    mean F-measure· 2021-10-01
    0.742
    best: 0.815 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoCA
    MAE· 2021-10-01
    0.133
    best: 0.081 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoCA
    Mean F-measure· 2021-10-01
    0.503
    best: 0.612 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoCA
    max E-measure· 2021-10-01
    0.745
    best: 0.814 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoCA
    mean E-measure· 2021-10-01
    0.69
    best: 0.783 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSal2015
    mean E-measure· 2021-10-01
    0.874
    best: 0.922 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 2D Object DetectiononCoSal2015
    mean F-measure· 2021-10-01
    0.825
    best: 0.883 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSOD3k
    MAE· 2021-10-01
    0.087
    best: 0.062 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSOD3k
    max E-measure· 2021-10-01
    0.854
    best: 0.901 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSOD3k
    mean E-measure· 2021-10-01
    0.823
    best: 0.881 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSOD3k
    mean F-measure· 2021-10-01
    0.742
    best: 0.815 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoCA
    MAE· 2021-10-01
    0.133
    best: 0.081 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoCA
    Mean F-measure· 2021-10-01
    0.503
    best: 0.612 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoCA
    max E-measure· 2021-10-01
    0.745
    best: 0.814 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoCA
    mean E-measure· 2021-10-01
    0.69
    best: 0.783 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSal2015
    mean E-measure· 2021-10-01
    0.874
    best: 0.922 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • 16konCoSal2015
    mean F-measure· 2021-10-01
    0.825
    best: 0.883 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338

Computer Vision54 results

  • Saliency DetectiononCoSOD3k
    S-measure· 2021-10-01
    0.815
    best: 0.851 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSOD3k
    max F-measure· 2021-10-01
    0.778
    best: 0.835 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoCA
    S-measure· 2021-10-01
    0.68
    best: 0.738 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoCA
    max F-measure· 2021-10-01
    0.55
    best: 0.637 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSal2015
    MAE· 2021-10-01
    0.064
    best: 0.045 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSal2015
    S-measure· 2021-10-01
    0.866
    best: 0.897 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSal2015
    max E-measure· 2021-10-01
    0.906
    best: 0.936 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSal2015
    max F-measure· 2021-10-01
    0.864
    best: 0.905 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSOD3k
    S-measure· 2021-10-01
    0.815
    best: 0.851 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSOD3k
    max F-measure· 2021-10-01
    0.778
    best: 0.835 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoCA
    S-measure· 2021-10-01
    0.68
    best: 0.738 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoCA
    max F-measure· 2021-10-01
    0.55
    best: 0.637 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSal2015
    MAE· 2021-10-01
    0.064
    best: 0.045 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSal2015
    S-measure· 2021-10-01
    0.866
    best: 0.897 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSal2015
    max E-measure· 2021-10-01
    0.906
    best: 0.936 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSal2015
    max F-measure· 2021-10-01
    0.864
    best: 0.905 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSOD3k
    S-measure· 2021-10-01
    0.815
    best: 0.851 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSOD3k
    max F-measure· 2021-10-01
    0.778
    best: 0.835 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoCA
    S-measure· 2021-10-01
    0.68
    best: 0.738 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoCA
    max F-measure· 2021-10-01
    0.55
    best: 0.637 (GCoNet+)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSal2015
    MAE· 2021-10-01
    0.064
    best: 0.045 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSal2015
    S-measure· 2021-10-01
    0.866
    best: 0.897 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSal2015
    max E-measure· 2021-10-01
    0.906
    best: 0.936 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSal2015
    max F-measure· 2021-10-01
    0.864
    best: 0.905 (DMT)
    SOTA
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSOD3k
    MAE· 2021-10-01
    0.087
    best: 0.062 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSOD3k
    max E-measure· 2021-10-01
    0.854
    best: 0.901 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSOD3k
    mean E-measure· 2021-10-01
    0.823
    best: 0.881 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSOD3k
    mean F-measure· 2021-10-01
    0.742
    best: 0.815 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoCA
    MAE· 2021-10-01
    0.133
    best: 0.081 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoCA
    Mean F-measure· 2021-10-01
    0.503
    best: 0.612 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoCA
    max E-measure· 2021-10-01
    0.745
    best: 0.814 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoCA
    mean E-measure· 2021-10-01
    0.69
    best: 0.783 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSal2015
    mean E-measure· 2021-10-01
    0.874
    best: 0.922 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Saliency DetectiononCoSal2015
    mean F-measure· 2021-10-01
    0.825
    best: 0.883 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSOD3k
    MAE· 2021-10-01
    0.087
    best: 0.062 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSOD3k
    max E-measure· 2021-10-01
    0.854
    best: 0.901 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSOD3k
    mean E-measure· 2021-10-01
    0.823
    best: 0.881 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSOD3k
    mean F-measure· 2021-10-01
    0.742
    best: 0.815 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoCA
    MAE· 2021-10-01
    0.133
    best: 0.081 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoCA
    Mean F-measure· 2021-10-01
    0.503
    best: 0.612 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoCA
    max E-measure· 2021-10-01
    0.745
    best: 0.814 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoCA
    mean E-measure· 2021-10-01
    0.69
    best: 0.783 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSal2015
    mean E-measure· 2021-10-01
    0.874
    best: 0.922 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • Object DetectiononCoSal2015
    mean F-measure· 2021-10-01
    0.825
    best: 0.883 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSOD3k
    MAE· 2021-10-01
    0.087
    best: 0.062 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSOD3k
    max E-measure· 2021-10-01
    0.854
    best: 0.901 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSOD3k
    mean E-measure· 2021-10-01
    0.823
    best: 0.881 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSOD3k
    mean F-measure· 2021-10-01
    0.742
    best: 0.815 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoCA
    MAE· 2021-10-01
    0.133
    best: 0.081 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoCA
    Mean F-measure· 2021-10-01
    0.503
    best: 0.612 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoCA
    max E-measure· 2021-10-01
    0.745
    best: 0.814 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoCA
    mean E-measure· 2021-10-01
    0.69
    best: 0.783 (GCoNet+)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSal2015
    mean E-measure· 2021-10-01
    0.874
    best: 0.922 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338
  • RGB Salient Object DetectiononCoSal2015
    mean F-measure· 2021-10-01
    0.825
    best: 0.883 (DMT)
    Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency DetectionarXiv:2110.00338