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Models/BASNet

BASNet

Reported on 301 benchmarks across 8 tasks

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

Methodology196 results

  • 3DonECSSD
    MAE
    0.037
    best: 0.021 (M3Net-S)
  • 3DonPASCAL-S
    MAE
    0.076
    best: 0.039 (CFDN)
  • 3DonHKU-IS
    MAE
    0.032
    best: 0.019 (M3Net-S)
  • 3DonDUTS-TE
    MAE
    0.047
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonDUTS-TE
    S-Measure
    0.876
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonDUTS-TE
    mean E-Measure
    0.896
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonDUTS-TE
    mean F-Measure
    0.823
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonSOC
    Average MAE
    0.092
    best: 0.089 (UCNet-CVAE)
  • 3DonSOC
    S-Measure
    0.841
    best: 0.849 (UCNet-CVAE)
  • 3DonSOC
    mean E-Measure
    0.864
    best: 0.872 (UCNet-CVAE)
  • 3DonDUT-OMRON
    MAE
    0.056
    best: 0.036 (BiRefNet (DUTS, UHRSD))
  • 3DonSOD
    MAE
    0.114
    best: 0.102 (PoolNet (VGG-16))
  • 3DonDIS-TE4
    E-measure
    0.848
    best: 0.944 (MVANet)
  • 3DonDIS-TE4
    HCE
    3601
    best: 3999 (BSV1)
  • 3DonDIS-TE4
    MAE
    0.091
    best: 0.037 (PDFNet)
  • 3DonDIS-TE4
    S-Measure
    0.794
    best: 0.91 (PDFNet)
  • 3DonDIS-TE4
    max F-Measure
    0.78
    best: 0.912 (MVANet)
  • 3DonDIS-TE4
    weighted F-measure
    0.693
    best: 0.867 (PDFNet)
  • 3DonDIS-VD
    E-measure
    0.816
    best: 0.958 (BEN_Base+Refiner)
  • 3DonDIS-VD
    HCE
    1402
    best: 1660 (BSV1)
  • 3DonDIS-VD
    MAE
    0.094
    best: 0.027 (BEN_Base+Refiner)
  • 3DonDIS-VD
    S-Measure
    0.768
    best: 0.917 (BEN_Base+Refiner)
  • 3DonDIS-VD
    max F-Measure
    0.731
    best: 0.923 (BEN_Base)
  • 3DonDIS-VD
    weighted F-measure
    0.641
    best: 0.896 (BEN_Base+Refiner)
  • 3DonDIS-TE2
    E-measure
    0.836
    best: 0.947 (PDFNet)
  • 3DonDIS-TE2
    HCE
    480
    best: 621 (BSV1)
  • 3DonDIS-TE2
    MAE
    0.084
    best: 0.028 (PDFNet)
  • 3DonDIS-TE2
    S-Measure
    0.786
    best: 0.924 (PDFNet)
  • 3DonDIS-TE2
    max F-Measure
    0.755
    best: 0.921 (PDFNet)
  • 3DonDIS-TE2
    weighted F-measure
    0.668
    best: 0.885 (PDFNet)
  • 3DonDIS-TE1
    E-measure
    0.801
    best: 0.927 (PDFNet)
  • 3DonDIS-TE1
    HCE
    220
    best: 288 (BSV1)
  • 3DonDIS-TE1
    MAE
    0.084
    best: 0.031 (PDFNet)
  • 3DonDIS-TE1
    S-Measure
    0.754
    best: 0.899 (PDFNet)
  • 3DonDIS-TE1
    max F-Measure
    0.688
    best: 0.89 (PDFNet)
  • 3DonDIS-TE1
    weighted F-measure
    0.595
    best: 0.846 (PDFNet)
  • 3DonDIS-TE3
    E-measure
    0.856
    best: 0.957 (PDFNet)
  • 3DonDIS-TE3
    HCE
    948
    best: 1146 (BSV1)
  • 3DonDIS-TE3
    MAE
    0.083
    best: 0.027 (PDFNet)
  • 3DonDIS-TE3
    S-Measure
    0.798
    best: 0.928 (PDFNet)
  • 3DonDIS-TE3
    max F-Measure
    0.785
    best: 0.936 (PDFNet)
  • 3DonDIS-TE3
    weighted F-measure
    0.696
    best: 0.9 (PDFNet)
  • 3DonCOD
    MAE
    0.092
    best: 0.013 (FOCUS)
  • 3DonCOD
    S-Measure
    0.685
    best: 0.913 (BiRefNet)
  • 3DonCOD
    Weighted F-Measure
    0.352
    best: 0.883 (FOCUS)
  • 3DonPCOD_1200
    S-Measure
    0.837
    best: 0.922 (CMX)
  • 3DonCAMO
    MAE· uses extra data
    0.159
    best: 0.025 (FOCUS)
  • 3DonCAMO
    S-Measure· uses extra data
    0.618
    best: 0.912 (FOCUS)
  • 3DonCAMO
    Weighted F-Measure· uses extra data
    0.413
    best: 0.904 (FOCUS)
  • 2D ClassificationonECSSD
    MAE
    0.037
    best: 0.021 (M3Net-S)
  • 2D ClassificationonPASCAL-S
    MAE
    0.076
    best: 0.039 (CFDN)
  • 2D ClassificationonHKU-IS
    MAE
    0.032
    best: 0.019 (M3Net-S)
  • 2D ClassificationonDUTS-TE
    MAE
    0.047
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    S-Measure
    0.876
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    mean E-Measure
    0.896
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    mean F-Measure
    0.823
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonSOC
    Average MAE
    0.092
    best: 0.089 (UCNet-CVAE)
  • 2D ClassificationonSOC
    S-Measure
    0.841
    best: 0.849 (UCNet-CVAE)
  • 2D ClassificationonSOC
    mean E-Measure
    0.864
    best: 0.872 (UCNet-CVAE)
  • 2D ClassificationonDUT-OMRON
    MAE
    0.056
    best: 0.036 (BiRefNet (DUTS, UHRSD))
  • 2D ClassificationonSOD
    MAE
    0.114
    best: 0.102 (PoolNet (VGG-16))
  • 2D ClassificationonDIS-TE4
    E-measure
    0.848
    best: 0.944 (MVANet)
  • 2D ClassificationonDIS-TE4
    HCE
    3601
    best: 3999 (BSV1)
  • 2D ClassificationonDIS-TE4
    MAE
    0.091
    best: 0.037 (PDFNet)
  • 2D ClassificationonDIS-TE4
    S-Measure
    0.794
    best: 0.91 (PDFNet)
  • 2D ClassificationonDIS-TE4
    max F-Measure
    0.78
    best: 0.912 (MVANet)
  • 2D ClassificationonDIS-TE4
    weighted F-measure
    0.693
    best: 0.867 (PDFNet)
  • 2D ClassificationonDIS-VD
    E-measure
    0.816
    best: 0.958 (BEN_Base+Refiner)
  • 2D ClassificationonDIS-VD
    HCE
    1402
    best: 1660 (BSV1)
  • 2D ClassificationonDIS-VD
    MAE
    0.094
    best: 0.027 (BEN_Base+Refiner)
  • 2D ClassificationonDIS-VD
    S-Measure
    0.768
    best: 0.917 (BEN_Base+Refiner)
  • 2D ClassificationonDIS-VD
    max F-Measure
    0.731
    best: 0.923 (BEN_Base)
  • 2D ClassificationonDIS-VD
    weighted F-measure
    0.641
    best: 0.896 (BEN_Base+Refiner)
  • 2D ClassificationonDIS-TE2
    E-measure
    0.836
    best: 0.947 (PDFNet)
  • 2D ClassificationonDIS-TE2
    HCE
    480
    best: 621 (BSV1)
  • 2D ClassificationonDIS-TE2
    MAE
    0.084
    best: 0.028 (PDFNet)
  • 2D ClassificationonDIS-TE2
    S-Measure
    0.786
    best: 0.924 (PDFNet)
  • 2D ClassificationonDIS-TE2
    max F-Measure
    0.755
    best: 0.921 (PDFNet)
  • 2D ClassificationonDIS-TE2
    weighted F-measure
    0.668
    best: 0.885 (PDFNet)
  • 2D ClassificationonDIS-TE1
    E-measure
    0.801
    best: 0.927 (PDFNet)
  • 2D ClassificationonDIS-TE1
    HCE
    220
    best: 288 (BSV1)
  • 2D ClassificationonDIS-TE1
    MAE
    0.084
    best: 0.031 (PDFNet)
  • 2D ClassificationonDIS-TE1
    S-Measure
    0.754
    best: 0.899 (PDFNet)
  • 2D ClassificationonDIS-TE1
    max F-Measure
    0.688
    best: 0.89 (PDFNet)
  • 2D ClassificationonDIS-TE1
    weighted F-measure
    0.595
    best: 0.846 (PDFNet)
  • 2D ClassificationonDIS-TE3
    E-measure
    0.856
    best: 0.957 (PDFNet)
  • 2D ClassificationonDIS-TE3
    HCE
    948
    best: 1146 (BSV1)
  • 2D ClassificationonDIS-TE3
    MAE
    0.083
    best: 0.027 (PDFNet)
  • 2D ClassificationonDIS-TE3
    S-Measure
    0.798
    best: 0.928 (PDFNet)
  • 2D ClassificationonDIS-TE3
    max F-Measure
    0.785
    best: 0.936 (PDFNet)
  • 2D ClassificationonDIS-TE3
    weighted F-measure
    0.696
    best: 0.9 (PDFNet)
  • 2D ClassificationonCOD
    MAE
    0.092
    best: 0.013 (FOCUS)
  • 2D ClassificationonCOD
    S-Measure
    0.685
    best: 0.913 (BiRefNet)
  • 2D ClassificationonCOD
    Weighted F-Measure
    0.352
    best: 0.883 (FOCUS)
  • 2D ClassificationonPCOD_1200
    S-Measure
    0.837
    best: 0.922 (CMX)
  • 2D ClassificationonCAMO
    MAE· uses extra data
    0.159
    best: 0.025 (FOCUS)
  • 2D ClassificationonCAMO
    S-Measure· uses extra data
    0.618
    best: 0.912 (FOCUS)
  • 2D ClassificationonCAMO
    Weighted F-Measure· uses extra data
    0.413
    best: 0.904 (FOCUS)
  • 2D Object DetectiononECSSD
    MAE
    0.037
    best: 0.021 (M3Net-S)
  • 2D Object DetectiononPASCAL-S
    MAE
    0.076
    best: 0.039 (CFDN)
  • 2D Object DetectiononHKU-IS
    MAE
    0.032
    best: 0.019 (M3Net-S)
  • 2D Object DetectiononDUTS-TE
    MAE
    0.047
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    S-Measure
    0.876
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    mean E-Measure
    0.896
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    mean F-Measure
    0.823
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononSOC
    Average MAE
    0.092
    best: 0.089 (UCNet-CVAE)
  • 2D Object DetectiononSOC
    S-Measure
    0.841
    best: 0.849 (UCNet-CVAE)
  • 2D Object DetectiononSOC
    mean E-Measure
    0.864
    best: 0.872 (UCNet-CVAE)
  • 2D Object DetectiononDUT-OMRON
    MAE
    0.056
    best: 0.036 (BiRefNet (DUTS, UHRSD))
  • 2D Object DetectiononSOD
    MAE
    0.114
    best: 0.102 (PoolNet (VGG-16))
  • 2D Object DetectiononDIS-TE4
    E-measure
    0.848
    best: 0.944 (MVANet)
  • 2D Object DetectiononDIS-TE4
    HCE
    3601
    best: 3999 (BSV1)
  • 2D Object DetectiononDIS-TE4
    MAE
    0.091
    best: 0.037 (PDFNet)
  • 2D Object DetectiononDIS-TE4
    S-Measure
    0.794
    best: 0.91 (PDFNet)
  • 2D Object DetectiononDIS-TE4
    max F-Measure
    0.78
    best: 0.912 (MVANet)
  • 2D Object DetectiononDIS-TE4
    weighted F-measure
    0.693
    best: 0.867 (PDFNet)
  • 2D Object DetectiononDIS-VD
    E-measure
    0.816
    best: 0.958 (BEN_Base+Refiner)
  • 2D Object DetectiononDIS-VD
    HCE
    1402
    best: 1660 (BSV1)
  • 2D Object DetectiononDIS-VD
    MAE
    0.094
    best: 0.027 (BEN_Base+Refiner)
  • 2D Object DetectiononDIS-VD
    S-Measure
    0.768
    best: 0.917 (BEN_Base+Refiner)
  • 2D Object DetectiononDIS-VD
    max F-Measure
    0.731
    best: 0.923 (BEN_Base)
  • 2D Object DetectiononDIS-VD
    weighted F-measure
    0.641
    best: 0.896 (BEN_Base+Refiner)
  • 2D Object DetectiononDIS-TE2
    E-measure
    0.836
    best: 0.947 (PDFNet)
  • 2D Object DetectiononDIS-TE2
    HCE
    480
    best: 621 (BSV1)
  • 2D Object DetectiononDIS-TE2
    MAE
    0.084
    best: 0.028 (PDFNet)
  • 2D Object DetectiononDIS-TE2
    S-Measure
    0.786
    best: 0.924 (PDFNet)
  • 2D Object DetectiononDIS-TE2
    max F-Measure
    0.755
    best: 0.921 (PDFNet)
  • 2D Object DetectiononDIS-TE2
    weighted F-measure
    0.668
    best: 0.885 (PDFNet)
  • 2D Object DetectiononDIS-TE1
    E-measure
    0.801
    best: 0.927 (PDFNet)
  • 2D Object DetectiononDIS-TE1
    HCE
    220
    best: 288 (BSV1)
  • 2D Object DetectiononDIS-TE1
    MAE
    0.084
    best: 0.031 (PDFNet)
  • 2D Object DetectiononDIS-TE1
    S-Measure
    0.754
    best: 0.899 (PDFNet)
  • 2D Object DetectiononDIS-TE1
    max F-Measure
    0.688
    best: 0.89 (PDFNet)
  • 2D Object DetectiononDIS-TE1
    weighted F-measure
    0.595
    best: 0.846 (PDFNet)
  • 2D Object DetectiononDIS-TE3
    E-measure
    0.856
    best: 0.957 (PDFNet)
  • 2D Object DetectiononDIS-TE3
    HCE
    948
    best: 1146 (BSV1)
  • 2D Object DetectiononDIS-TE3
    MAE
    0.083
    best: 0.027 (PDFNet)
  • 2D Object DetectiononDIS-TE3
    S-Measure
    0.798
    best: 0.928 (PDFNet)
  • 2D Object DetectiononDIS-TE3
    max F-Measure
    0.785
    best: 0.936 (PDFNet)
  • 2D Object DetectiononDIS-TE3
    weighted F-measure
    0.696
    best: 0.9 (PDFNet)
  • 2D Object DetectiononCOD
    MAE
    0.092
    best: 0.013 (FOCUS)
  • 2D Object DetectiononCOD
    S-Measure
    0.685
    best: 0.913 (BiRefNet)
  • 2D Object DetectiononCOD
    Weighted F-Measure
    0.352
    best: 0.883 (FOCUS)
  • 2D Object DetectiononPCOD_1200
    S-Measure
    0.837
    best: 0.922 (CMX)
  • 2D Object DetectiononCAMO
    MAE· uses extra data
    0.159
    best: 0.025 (FOCUS)
  • 2D Object DetectiononCAMO
    S-Measure· uses extra data
    0.618
    best: 0.912 (FOCUS)
  • 2D Object DetectiononCAMO
    Weighted F-Measure· uses extra data
    0.413
    best: 0.904 (FOCUS)
  • 16konECSSD
    MAE
    0.037
    best: 0.021 (M3Net-S)
  • 16konPASCAL-S
    MAE
    0.076
    best: 0.039 (CFDN)
  • 16konHKU-IS
    MAE
    0.032
    best: 0.019 (M3Net-S)
  • 16konDUTS-TE
    MAE
    0.047
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    S-Measure
    0.876
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    mean E-Measure
    0.896
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    mean F-Measure
    0.823
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konSOC
    Average MAE
    0.092
    best: 0.089 (UCNet-CVAE)
  • 16konSOC
    S-Measure
    0.841
    best: 0.849 (UCNet-CVAE)
  • 16konSOC
    mean E-Measure
    0.864
    best: 0.872 (UCNet-CVAE)
  • 16konDUT-OMRON
    MAE
    0.056
    best: 0.036 (BiRefNet (DUTS, UHRSD))
  • 16konSOD
    MAE
    0.114
    best: 0.102 (PoolNet (VGG-16))
  • 16konDIS-TE4
    E-measure
    0.848
    best: 0.944 (MVANet)
  • 16konDIS-TE4
    HCE
    3601
    best: 3999 (BSV1)
  • 16konDIS-TE4
    MAE
    0.091
    best: 0.037 (PDFNet)
  • 16konDIS-TE4
    S-Measure
    0.794
    best: 0.91 (PDFNet)
  • 16konDIS-TE4
    max F-Measure
    0.78
    best: 0.912 (MVANet)
  • 16konDIS-TE4
    weighted F-measure
    0.693
    best: 0.867 (PDFNet)
  • 16konDIS-VD
    E-measure
    0.816
    best: 0.958 (BEN_Base+Refiner)
  • 16konDIS-VD
    HCE
    1402
    best: 1660 (BSV1)
  • 16konDIS-VD
    MAE
    0.094
    best: 0.027 (BEN_Base+Refiner)
  • 16konDIS-VD
    S-Measure
    0.768
    best: 0.917 (BEN_Base+Refiner)
  • 16konDIS-VD
    max F-Measure
    0.731
    best: 0.923 (BEN_Base)
  • 16konDIS-VD
    weighted F-measure
    0.641
    best: 0.896 (BEN_Base+Refiner)
  • 16konDIS-TE2
    E-measure
    0.836
    best: 0.947 (PDFNet)
  • 16konDIS-TE2
    HCE
    480
    best: 621 (BSV1)
  • 16konDIS-TE2
    MAE
    0.084
    best: 0.028 (PDFNet)
  • 16konDIS-TE2
    S-Measure
    0.786
    best: 0.924 (PDFNet)
  • 16konDIS-TE2
    max F-Measure
    0.755
    best: 0.921 (PDFNet)
  • 16konDIS-TE2
    weighted F-measure
    0.668
    best: 0.885 (PDFNet)
  • 16konDIS-TE1
    E-measure
    0.801
    best: 0.927 (PDFNet)
  • 16konDIS-TE1
    HCE
    220
    best: 288 (BSV1)
  • 16konDIS-TE1
    MAE
    0.084
    best: 0.031 (PDFNet)
  • 16konDIS-TE1
    S-Measure
    0.754
    best: 0.899 (PDFNet)
  • 16konDIS-TE1
    max F-Measure
    0.688
    best: 0.89 (PDFNet)
  • 16konDIS-TE1
    weighted F-measure
    0.595
    best: 0.846 (PDFNet)
  • 16konDIS-TE3
    E-measure
    0.856
    best: 0.957 (PDFNet)
  • 16konDIS-TE3
    HCE
    948
    best: 1146 (BSV1)
  • 16konDIS-TE3
    MAE
    0.083
    best: 0.027 (PDFNet)
  • 16konDIS-TE3
    S-Measure
    0.798
    best: 0.928 (PDFNet)
  • 16konDIS-TE3
    max F-Measure
    0.785
    best: 0.936 (PDFNet)
  • 16konDIS-TE3
    weighted F-measure
    0.696
    best: 0.9 (PDFNet)
  • 16konCOD
    MAE
    0.092
    best: 0.013 (FOCUS)
  • 16konCOD
    S-Measure
    0.685
    best: 0.913 (BiRefNet)
  • 16konCOD
    Weighted F-Measure
    0.352
    best: 0.883 (FOCUS)
  • 16konPCOD_1200
    S-Measure
    0.837
    best: 0.922 (CMX)
  • 16konCAMO
    MAE· uses extra data
    0.159
    best: 0.025 (FOCUS)
  • 16konCAMO
    S-Measure· uses extra data
    0.618
    best: 0.912 (FOCUS)
  • 16konCAMO
    Weighted F-Measure· uses extra data
    0.413
    best: 0.904 (FOCUS)

Computer Vision105 results

  • Object DetectiononECSSD
    MAE
    0.037
    best: 0.021 (M3Net-S)
  • Object DetectiononPASCAL-S
    MAE
    0.076
    best: 0.039 (CFDN)
  • Object DetectiononHKU-IS
    MAE
    0.032
    best: 0.019 (M3Net-S)
  • Object DetectiononDUTS-TE
    MAE
    0.047
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononDUTS-TE
    S-Measure
    0.876
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononDUTS-TE
    mean E-Measure
    0.896
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononDUTS-TE
    mean F-Measure
    0.823
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononSOC
    Average MAE
    0.092
    best: 0.089 (UCNet-CVAE)
  • Object DetectiononSOC
    S-Measure
    0.841
    best: 0.849 (UCNet-CVAE)
  • Object DetectiononSOC
    mean E-Measure
    0.864
    best: 0.872 (UCNet-CVAE)
  • Object DetectiononDUT-OMRON
    MAE
    0.056
    best: 0.036 (BiRefNet (DUTS, UHRSD))
  • Object DetectiononSOD
    MAE
    0.114
    best: 0.102 (PoolNet (VGG-16))
  • Object DetectiononDIS-TE4
    E-measure
    0.848
    best: 0.944 (MVANet)
  • Object DetectiononDIS-TE4
    HCE
    3601
    best: 3999 (BSV1)
  • Object DetectiononDIS-TE4
    MAE
    0.091
    best: 0.037 (PDFNet)
  • Object DetectiononDIS-TE4
    S-Measure
    0.794
    best: 0.91 (PDFNet)
  • Object DetectiononDIS-TE4
    max F-Measure
    0.78
    best: 0.912 (MVANet)
  • Object DetectiononDIS-TE4
    weighted F-measure
    0.693
    best: 0.867 (PDFNet)
  • Object DetectiononDIS-VD
    E-measure
    0.816
    best: 0.958 (BEN_Base+Refiner)
  • Object DetectiononDIS-VD
    HCE
    1402
    best: 1660 (BSV1)
  • Object DetectiononDIS-VD
    MAE
    0.094
    best: 0.027 (BEN_Base+Refiner)
  • Object DetectiononDIS-VD
    S-Measure
    0.768
    best: 0.917 (BEN_Base+Refiner)
  • Object DetectiononDIS-VD
    max F-Measure
    0.731
    best: 0.923 (BEN_Base)
  • Object DetectiononDIS-VD
    weighted F-measure
    0.641
    best: 0.896 (BEN_Base+Refiner)
  • Object DetectiononDIS-TE2
    E-measure
    0.836
    best: 0.947 (PDFNet)
  • Object DetectiononDIS-TE2
    HCE
    480
    best: 621 (BSV1)
  • Object DetectiononDIS-TE2
    MAE
    0.084
    best: 0.028 (PDFNet)
  • Object DetectiononDIS-TE2
    S-Measure
    0.786
    best: 0.924 (PDFNet)
  • Object DetectiononDIS-TE2
    max F-Measure
    0.755
    best: 0.921 (PDFNet)
  • Object DetectiononDIS-TE2
    weighted F-measure
    0.668
    best: 0.885 (PDFNet)
  • Object DetectiononDIS-TE1
    E-measure
    0.801
    best: 0.927 (PDFNet)
  • Object DetectiononDIS-TE1
    HCE
    220
    best: 288 (BSV1)
  • Object DetectiononDIS-TE1
    MAE
    0.084
    best: 0.031 (PDFNet)
  • Object DetectiononDIS-TE1
    S-Measure
    0.754
    best: 0.899 (PDFNet)
  • Object DetectiononDIS-TE1
    max F-Measure
    0.688
    best: 0.89 (PDFNet)
  • Object DetectiononDIS-TE1
    weighted F-measure
    0.595
    best: 0.846 (PDFNet)
  • Object DetectiononDIS-TE3
    E-measure
    0.856
    best: 0.957 (PDFNet)
  • Object DetectiononDIS-TE3
    HCE
    948
    best: 1146 (BSV1)
  • Object DetectiononDIS-TE3
    MAE
    0.083
    best: 0.027 (PDFNet)
  • Object DetectiononDIS-TE3
    S-Measure
    0.798
    best: 0.928 (PDFNet)
  • Object DetectiononDIS-TE3
    max F-Measure
    0.785
    best: 0.936 (PDFNet)
  • Object DetectiononDIS-TE3
    weighted F-measure
    0.696
    best: 0.9 (PDFNet)
  • Object DetectiononCOD
    MAE
    0.092
    best: 0.013 (FOCUS)
  • Object DetectiononCOD
    S-Measure
    0.685
    best: 0.913 (BiRefNet)
  • Object DetectiononCOD
    Weighted F-Measure
    0.352
    best: 0.883 (FOCUS)
  • Object DetectiononPCOD_1200
    S-Measure
    0.837
    best: 0.922 (CMX)
  • Object DetectiononCAMO
    MAE· uses extra data
    0.159
    best: 0.025 (FOCUS)
  • Object DetectiononCAMO
    S-Measure· uses extra data
    0.618
    best: 0.912 (FOCUS)
  • Object DetectiononCAMO
    Weighted F-Measure· uses extra data
    0.413
    best: 0.904 (FOCUS)
  • RGB Salient Object DetectiononECSSD
    MAE
    0.037
    best: 0.021 (M3Net-S)
  • RGB Salient Object DetectiononPASCAL-S
    MAE
    0.076
    best: 0.039 (CFDN)
  • RGB Salient Object DetectiononHKU-IS
    MAE
    0.032
    best: 0.019 (M3Net-S)
  • RGB Salient Object DetectiononDUTS-TE
    MAE
    0.047
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    S-Measure
    0.876
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    mean E-Measure
    0.896
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    mean F-Measure
    0.823
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononSOC
    Average MAE
    0.092
    best: 0.089 (UCNet-CVAE)
  • RGB Salient Object DetectiononSOC
    S-Measure
    0.841
    best: 0.849 (UCNet-CVAE)
  • RGB Salient Object DetectiononSOC
    mean E-Measure
    0.864
    best: 0.872 (UCNet-CVAE)
  • RGB Salient Object DetectiononDUT-OMRON
    MAE
    0.056
    best: 0.036 (BiRefNet (DUTS, UHRSD))
  • RGB Salient Object DetectiononSOD
    MAE
    0.114
    best: 0.102 (PoolNet (VGG-16))
  • RGB Salient Object DetectiononDIS-TE4
    E-measure
    0.848
    best: 0.944 (MVANet)
  • RGB Salient Object DetectiononDIS-TE4
    HCE
    3601
    best: 3999 (BSV1)
  • RGB Salient Object DetectiononDIS-TE4
    MAE
    0.091
    best: 0.037 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE4
    S-Measure
    0.794
    best: 0.91 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE4
    max F-Measure
    0.78
    best: 0.912 (MVANet)
  • RGB Salient Object DetectiononDIS-TE4
    weighted F-measure
    0.693
    best: 0.867 (PDFNet)
  • RGB Salient Object DetectiononDIS-VD
    E-measure
    0.816
    best: 0.958 (BEN_Base+Refiner)
  • RGB Salient Object DetectiononDIS-VD
    HCE
    1402
    best: 1660 (BSV1)
  • RGB Salient Object DetectiononDIS-VD
    MAE
    0.094
    best: 0.027 (BEN_Base+Refiner)
  • RGB Salient Object DetectiononDIS-VD
    S-Measure
    0.768
    best: 0.917 (BEN_Base+Refiner)
  • RGB Salient Object DetectiononDIS-VD
    max F-Measure
    0.731
    best: 0.923 (BEN_Base)
  • RGB Salient Object DetectiononDIS-VD
    weighted F-measure
    0.641
    best: 0.896 (BEN_Base+Refiner)
  • RGB Salient Object DetectiononDIS-TE2
    E-measure
    0.836
    best: 0.947 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE2
    HCE
    480
    best: 621 (BSV1)
  • RGB Salient Object DetectiononDIS-TE2
    MAE
    0.084
    best: 0.028 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE2
    S-Measure
    0.786
    best: 0.924 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE2
    max F-Measure
    0.755
    best: 0.921 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE2
    weighted F-measure
    0.668
    best: 0.885 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE1
    E-measure
    0.801
    best: 0.927 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE1
    HCE
    220
    best: 288 (BSV1)
  • RGB Salient Object DetectiononDIS-TE1
    MAE
    0.084
    best: 0.031 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE1
    S-Measure
    0.754
    best: 0.899 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE1
    max F-Measure
    0.688
    best: 0.89 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE1
    weighted F-measure
    0.595
    best: 0.846 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE3
    E-measure
    0.856
    best: 0.957 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE3
    HCE
    948
    best: 1146 (BSV1)
  • RGB Salient Object DetectiononDIS-TE3
    MAE
    0.083
    best: 0.027 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE3
    S-Measure
    0.798
    best: 0.928 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE3
    max F-Measure
    0.785
    best: 0.936 (PDFNet)
  • RGB Salient Object DetectiononDIS-TE3
    weighted F-measure
    0.696
    best: 0.9 (PDFNet)
  • Camouflaged Object SegmentationonCOD
    MAE
    0.092
    best: 0.013 (FOCUS)
  • Camouflaged Object SegmentationonCOD
    S-Measure
    0.685
    best: 0.913 (BiRefNet)
  • Camouflaged Object SegmentationonCOD
    Weighted F-Measure
    0.352
    best: 0.883 (FOCUS)
  • Camouflaged Object SegmentationonPCOD_1200
    S-Measure
    0.837
    best: 0.922 (CMX)
  • Camouflaged Object SegmentationonCAMO
    MAE· uses extra data
    0.159
    best: 0.025 (FOCUS)
  • Camouflaged Object SegmentationonCAMO
    S-Measure· uses extra data
    0.618
    best: 0.912 (FOCUS)
  • Camouflaged Object SegmentationonCAMO
    Weighted F-Measure· uses extra data
    0.413
    best: 0.904 (FOCUS)
  • Object SegmentationonCOD
    MAE
    0.092
    best: 0.013 (FOCUS)
  • Object SegmentationonCOD
    S-Measure
    0.685
    best: 0.913 (BiRefNet)
  • Object SegmentationonCOD
    Weighted F-Measure
    0.352
    best: 0.883 (FOCUS)
  • Object SegmentationonPCOD_1200
    S-Measure
    0.837
    best: 0.922 (CMX)
  • Object SegmentationonCAMO
    MAE· uses extra data
    0.159
    best: 0.025 (FOCUS)
  • Object SegmentationonCAMO
    S-Measure· uses extra data
    0.618
    best: 0.912 (FOCUS)
  • Object SegmentationonCAMO
    Weighted F-Measure· uses extra data
    0.413
    best: 0.904 (FOCUS)