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Models/STDC

STDC

Reported on 180 benchmarks across 6 tasks · 1 paper

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

Methodology120 results

  • 3DonDIS-TE4
    E-measure· 2021-04-27
    0.841
    best: 0.944 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE4
    HCE· 2021-04-27
    3819
    best: 3999 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE4
    MAE· 2021-04-27
    0.102
    best: 0.037 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE4
    S-Measure· 2021-04-27
    0.762
    best: 0.91 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE4
    max F-Measure· 2021-04-27
    0.731
    best: 0.912 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE4
    weighted F-measure· 2021-04-27
    0.652
    best: 0.867 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-VD
    E-measure· 2021-04-27
    0.817
    best: 0.958 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-VD
    HCE· 2021-04-27
    1598
    best: 1660 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-VD
    MAE· 2021-04-27
    0.103
    best: 0.027 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-VD
    S-Measure· 2021-04-27
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-VD
    max F-Measure· 2021-04-27
    0.696
    best: 0.923 (BEN_Base)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-VD
    weighted F-measure· 2021-04-27
    0.613
    best: 0.896 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE2
    E-measure· 2021-04-27
    0.834
    best: 0.947 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE2
    HCE· 2021-04-27
    556
    best: 621 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE2
    MAE· 2021-04-27
    0.092
    best: 0.028 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE2
    S-Measure· 2021-04-27
    0.759
    best: 0.924 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE2
    max F-Measure· 2021-04-27
    0.72
    best: 0.921 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE2
    weighted F-measure· 2021-04-27
    0.636
    best: 0.885 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE1
    E-measure· 2021-04-27
    0.798
    best: 0.927 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE1
    HCE· 2021-04-27
    249
    best: 288 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE1
    MAE· 2021-04-27
    0.09
    best: 0.031 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE1
    S-Measure· 2021-04-27
    0.723
    best: 0.899 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE1
    max F-Measure· 2021-04-27
    0.648
    best: 0.89 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE1
    weighted F-measure· 2021-04-27
    0.562
    best: 0.846 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE3
    E-measure· 2021-04-27
    0.855
    best: 0.957 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE3
    HCE· 2021-04-27
    1081
    best: 1146 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE3
    MAE· 2021-04-27
    0.09
    best: 0.027 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE3
    S-Measure· 2021-04-27
    0.771
    best: 0.928 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE3
    max F-Measure· 2021-04-27
    0.745
    best: 0.936 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 3DonDIS-TE3
    weighted F-measure· 2021-04-27
    0.662
    best: 0.9 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE4
    E-measure· 2021-04-27
    0.841
    best: 0.944 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE4
    HCE· 2021-04-27
    3819
    best: 3999 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE4
    MAE· 2021-04-27
    0.102
    best: 0.037 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE4
    S-Measure· 2021-04-27
    0.762
    best: 0.91 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE4
    max F-Measure· 2021-04-27
    0.731
    best: 0.912 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE4
    weighted F-measure· 2021-04-27
    0.652
    best: 0.867 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-VD
    E-measure· 2021-04-27
    0.817
    best: 0.958 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-VD
    HCE· 2021-04-27
    1598
    best: 1660 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-VD
    MAE· 2021-04-27
    0.103
    best: 0.027 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-VD
    S-Measure· 2021-04-27
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-VD
    max F-Measure· 2021-04-27
    0.696
    best: 0.923 (BEN_Base)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-VD
    weighted F-measure· 2021-04-27
    0.613
    best: 0.896 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE2
    E-measure· 2021-04-27
    0.834
    best: 0.947 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE2
    HCE· 2021-04-27
    556
    best: 621 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE2
    MAE· 2021-04-27
    0.092
    best: 0.028 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE2
    S-Measure· 2021-04-27
    0.759
    best: 0.924 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE2
    max F-Measure· 2021-04-27
    0.72
    best: 0.921 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE2
    weighted F-measure· 2021-04-27
    0.636
    best: 0.885 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE1
    E-measure· 2021-04-27
    0.798
    best: 0.927 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE1
    HCE· 2021-04-27
    249
    best: 288 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE1
    MAE· 2021-04-27
    0.09
    best: 0.031 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE1
    S-Measure· 2021-04-27
    0.723
    best: 0.899 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE1
    max F-Measure· 2021-04-27
    0.648
    best: 0.89 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE1
    weighted F-measure· 2021-04-27
    0.562
    best: 0.846 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE3
    E-measure· 2021-04-27
    0.855
    best: 0.957 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE3
    HCE· 2021-04-27
    1081
    best: 1146 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE3
    MAE· 2021-04-27
    0.09
    best: 0.027 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE3
    S-Measure· 2021-04-27
    0.771
    best: 0.928 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE3
    max F-Measure· 2021-04-27
    0.745
    best: 0.936 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D ClassificationonDIS-TE3
    weighted F-measure· 2021-04-27
    0.662
    best: 0.9 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE4
    E-measure· 2021-04-27
    0.841
    best: 0.944 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE4
    HCE· 2021-04-27
    3819
    best: 3999 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE4
    MAE· 2021-04-27
    0.102
    best: 0.037 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE4
    S-Measure· 2021-04-27
    0.762
    best: 0.91 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE4
    max F-Measure· 2021-04-27
    0.731
    best: 0.912 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE4
    weighted F-measure· 2021-04-27
    0.652
    best: 0.867 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-VD
    E-measure· 2021-04-27
    0.817
    best: 0.958 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-VD
    HCE· 2021-04-27
    1598
    best: 1660 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-VD
    MAE· 2021-04-27
    0.103
    best: 0.027 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-VD
    S-Measure· 2021-04-27
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-VD
    max F-Measure· 2021-04-27
    0.696
    best: 0.923 (BEN_Base)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-VD
    weighted F-measure· 2021-04-27
    0.613
    best: 0.896 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE2
    E-measure· 2021-04-27
    0.834
    best: 0.947 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE2
    HCE· 2021-04-27
    556
    best: 621 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE2
    MAE· 2021-04-27
    0.092
    best: 0.028 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE2
    S-Measure· 2021-04-27
    0.759
    best: 0.924 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE2
    max F-Measure· 2021-04-27
    0.72
    best: 0.921 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE2
    weighted F-measure· 2021-04-27
    0.636
    best: 0.885 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE1
    E-measure· 2021-04-27
    0.798
    best: 0.927 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE1
    HCE· 2021-04-27
    249
    best: 288 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE1
    MAE· 2021-04-27
    0.09
    best: 0.031 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE1
    S-Measure· 2021-04-27
    0.723
    best: 0.899 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE1
    max F-Measure· 2021-04-27
    0.648
    best: 0.89 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE1
    weighted F-measure· 2021-04-27
    0.562
    best: 0.846 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE3
    E-measure· 2021-04-27
    0.855
    best: 0.957 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE3
    HCE· 2021-04-27
    1081
    best: 1146 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE3
    MAE· 2021-04-27
    0.09
    best: 0.027 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE3
    S-Measure· 2021-04-27
    0.771
    best: 0.928 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE3
    max F-Measure· 2021-04-27
    0.745
    best: 0.936 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 2D Object DetectiononDIS-TE3
    weighted F-measure· 2021-04-27
    0.662
    best: 0.9 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE4
    E-measure· 2021-04-27
    0.841
    best: 0.944 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE4
    HCE· 2021-04-27
    3819
    best: 3999 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE4
    MAE· 2021-04-27
    0.102
    best: 0.037 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE4
    S-Measure· 2021-04-27
    0.762
    best: 0.91 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE4
    max F-Measure· 2021-04-27
    0.731
    best: 0.912 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE4
    weighted F-measure· 2021-04-27
    0.652
    best: 0.867 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-VD
    E-measure· 2021-04-27
    0.817
    best: 0.958 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-VD
    HCE· 2021-04-27
    1598
    best: 1660 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-VD
    MAE· 2021-04-27
    0.103
    best: 0.027 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-VD
    S-Measure· 2021-04-27
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-VD
    max F-Measure· 2021-04-27
    0.696
    best: 0.923 (BEN_Base)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-VD
    weighted F-measure· 2021-04-27
    0.613
    best: 0.896 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE2
    E-measure· 2021-04-27
    0.834
    best: 0.947 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE2
    HCE· 2021-04-27
    556
    best: 621 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE2
    MAE· 2021-04-27
    0.092
    best: 0.028 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE2
    S-Measure· 2021-04-27
    0.759
    best: 0.924 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE2
    max F-Measure· 2021-04-27
    0.72
    best: 0.921 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE2
    weighted F-measure· 2021-04-27
    0.636
    best: 0.885 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE1
    E-measure· 2021-04-27
    0.798
    best: 0.927 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE1
    HCE· 2021-04-27
    249
    best: 288 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE1
    MAE· 2021-04-27
    0.09
    best: 0.031 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE1
    S-Measure· 2021-04-27
    0.723
    best: 0.899 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE1
    max F-Measure· 2021-04-27
    0.648
    best: 0.89 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE1
    weighted F-measure· 2021-04-27
    0.562
    best: 0.846 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE3
    E-measure· 2021-04-27
    0.855
    best: 0.957 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE3
    HCE· 2021-04-27
    1081
    best: 1146 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE3
    MAE· 2021-04-27
    0.09
    best: 0.027 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE3
    S-Measure· 2021-04-27
    0.771
    best: 0.928 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE3
    max F-Measure· 2021-04-27
    0.745
    best: 0.936 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • 16konDIS-TE3
    weighted F-measure· 2021-04-27
    0.662
    best: 0.9 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188

Computer Vision60 results

  • Object DetectiononDIS-TE4
    E-measure· 2021-04-27
    0.841
    best: 0.944 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE4
    HCE· 2021-04-27
    3819
    best: 3999 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE4
    MAE· 2021-04-27
    0.102
    best: 0.037 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE4
    S-Measure· 2021-04-27
    0.762
    best: 0.91 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE4
    max F-Measure· 2021-04-27
    0.731
    best: 0.912 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE4
    weighted F-measure· 2021-04-27
    0.652
    best: 0.867 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-VD
    E-measure· 2021-04-27
    0.817
    best: 0.958 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-VD
    HCE· 2021-04-27
    1598
    best: 1660 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-VD
    MAE· 2021-04-27
    0.103
    best: 0.027 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-VD
    S-Measure· 2021-04-27
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-VD
    max F-Measure· 2021-04-27
    0.696
    best: 0.923 (BEN_Base)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-VD
    weighted F-measure· 2021-04-27
    0.613
    best: 0.896 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE2
    E-measure· 2021-04-27
    0.834
    best: 0.947 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE2
    HCE· 2021-04-27
    556
    best: 621 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE2
    MAE· 2021-04-27
    0.092
    best: 0.028 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE2
    S-Measure· 2021-04-27
    0.759
    best: 0.924 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE2
    max F-Measure· 2021-04-27
    0.72
    best: 0.921 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE2
    weighted F-measure· 2021-04-27
    0.636
    best: 0.885 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE1
    E-measure· 2021-04-27
    0.798
    best: 0.927 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE1
    HCE· 2021-04-27
    249
    best: 288 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE1
    MAE· 2021-04-27
    0.09
    best: 0.031 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE1
    S-Measure· 2021-04-27
    0.723
    best: 0.899 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE1
    max F-Measure· 2021-04-27
    0.648
    best: 0.89 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE1
    weighted F-measure· 2021-04-27
    0.562
    best: 0.846 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE3
    E-measure· 2021-04-27
    0.855
    best: 0.957 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE3
    HCE· 2021-04-27
    1081
    best: 1146 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE3
    MAE· 2021-04-27
    0.09
    best: 0.027 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE3
    S-Measure· 2021-04-27
    0.771
    best: 0.928 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE3
    max F-Measure· 2021-04-27
    0.745
    best: 0.936 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • Object DetectiononDIS-TE3
    weighted F-measure· 2021-04-27
    0.662
    best: 0.9 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE4
    E-measure· 2021-04-27
    0.841
    best: 0.944 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE4
    HCE· 2021-04-27
    3819
    best: 3999 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE4
    MAE· 2021-04-27
    0.102
    best: 0.037 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE4
    S-Measure· 2021-04-27
    0.762
    best: 0.91 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE4
    max F-Measure· 2021-04-27
    0.731
    best: 0.912 (MVANet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE4
    weighted F-measure· 2021-04-27
    0.652
    best: 0.867 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-VD
    E-measure· 2021-04-27
    0.817
    best: 0.958 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-VD
    HCE· 2021-04-27
    1598
    best: 1660 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-VD
    MAE· 2021-04-27
    0.103
    best: 0.027 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-VD
    S-Measure· 2021-04-27
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-VD
    max F-Measure· 2021-04-27
    0.696
    best: 0.923 (BEN_Base)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-VD
    weighted F-measure· 2021-04-27
    0.613
    best: 0.896 (BEN_Base+Refiner)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE2
    E-measure· 2021-04-27
    0.834
    best: 0.947 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE2
    HCE· 2021-04-27
    556
    best: 621 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE2
    MAE· 2021-04-27
    0.092
    best: 0.028 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE2
    S-Measure· 2021-04-27
    0.759
    best: 0.924 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE2
    max F-Measure· 2021-04-27
    0.72
    best: 0.921 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE2
    weighted F-measure· 2021-04-27
    0.636
    best: 0.885 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE1
    E-measure· 2021-04-27
    0.798
    best: 0.927 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE1
    HCE· 2021-04-27
    249
    best: 288 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE1
    MAE· 2021-04-27
    0.09
    best: 0.031 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE1
    S-Measure· 2021-04-27
    0.723
    best: 0.899 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE1
    max F-Measure· 2021-04-27
    0.648
    best: 0.89 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE1
    weighted F-measure· 2021-04-27
    0.562
    best: 0.846 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE3
    E-measure· 2021-04-27
    0.855
    best: 0.957 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE3
    HCE· 2021-04-27
    1081
    best: 1146 (BSV1)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE3
    MAE· 2021-04-27
    0.09
    best: 0.027 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE3
    S-Measure· 2021-04-27
    0.771
    best: 0.928 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE3
    max F-Measure· 2021-04-27
    0.745
    best: 0.936 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188
  • RGB Salient Object DetectiononDIS-TE3
    weighted F-measure· 2021-04-27
    0.662
    best: 0.9 (PDFNet)
    Rethinking BiSeNet For Real-time Semantic SegmentationarXiv:2104.13188