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Models/PFNet

PFNet

Reported on 190 benchmarks across 9 tasks · 1 paper

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

Methodology124 results

  • 3DonDIS-TE4
    E-measure· 2021-04-21
    0.838
    best: 0.944 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE4
    HCE· 2021-04-21
    3803
    best: 3999 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE4
    MAE· 2021-04-21
    0.107
    best: 0.037 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE4
    S-Measure· 2021-04-21
    0.763
    best: 0.91 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE4
    max F-Measure· 2021-04-21
    0.731
    best: 0.912 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE4
    weighted F-measure· 2021-04-21
    0.647
    best: 0.867 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-VD
    E-measure· 2021-04-21
    0.811
    best: 0.958 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-VD
    HCE· 2021-04-21
    1606
    best: 1660 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-VD
    MAE· 2021-04-21
    0.106
    best: 0.027 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-VD
    S-Measure· 2021-04-21
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-VD
    max F-Measure· 2021-04-21
    0.691
    best: 0.923 (BEN_Base)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-VD
    weighted F-measure· 2021-04-21
    0.604
    best: 0.896 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE2
    E-measure· 2021-04-21
    0.829
    best: 0.947 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE2
    HCE· 2021-04-21
    567
    best: 621 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE2
    MAE· 2021-04-21
    0.096
    best: 0.028 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE2
    S-Measure· 2021-04-21
    0.761
    best: 0.924 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE2
    max F-Measure· 2021-04-21
    0.72
    best: 0.921 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE2
    weighted F-measure· 2021-04-21
    0.633
    best: 0.885 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE1
    E-measure· 2021-04-21
    0.786
    best: 0.927 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE1
    HCE· 2021-04-21
    253
    best: 288 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE1
    MAE· 2021-04-21
    0.094
    best: 0.031 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE1
    S-Measure· 2021-04-21
    0.722
    best: 0.899 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE1
    max F-Measure· 2021-04-21
    0.646
    best: 0.89 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE1
    weighted F-measure· 2021-04-21
    0.552
    best: 0.846 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE3
    E-measure· 2021-04-21
    0.854
    best: 0.957 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE3
    HCE· 2021-04-21
    1082
    best: 1146 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE3
    MAE· 2021-04-21
    0.092
    best: 0.027 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE3
    S-Measure· 2021-04-21
    0.777
    best: 0.928 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE3
    max F-Measure· 2021-04-21
    0.751
    best: 0.936 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonDIS-TE3
    weighted F-measure· 2021-04-21
    0.664
    best: 0.9 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 3DonPCOD_1200
    S-Measure· 2021-04-21
    0.873
    best: 0.922 (CMX)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE4
    E-measure· 2021-04-21
    0.838
    best: 0.944 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE4
    HCE· 2021-04-21
    3803
    best: 3999 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE4
    MAE· 2021-04-21
    0.107
    best: 0.037 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE4
    S-Measure· 2021-04-21
    0.763
    best: 0.91 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE4
    max F-Measure· 2021-04-21
    0.731
    best: 0.912 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE4
    weighted F-measure· 2021-04-21
    0.647
    best: 0.867 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-VD
    E-measure· 2021-04-21
    0.811
    best: 0.958 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-VD
    HCE· 2021-04-21
    1606
    best: 1660 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-VD
    MAE· 2021-04-21
    0.106
    best: 0.027 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-VD
    S-Measure· 2021-04-21
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-VD
    max F-Measure· 2021-04-21
    0.691
    best: 0.923 (BEN_Base)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-VD
    weighted F-measure· 2021-04-21
    0.604
    best: 0.896 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE2
    E-measure· 2021-04-21
    0.829
    best: 0.947 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE2
    HCE· 2021-04-21
    567
    best: 621 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE2
    MAE· 2021-04-21
    0.096
    best: 0.028 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE2
    S-Measure· 2021-04-21
    0.761
    best: 0.924 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE2
    max F-Measure· 2021-04-21
    0.72
    best: 0.921 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE2
    weighted F-measure· 2021-04-21
    0.633
    best: 0.885 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE1
    E-measure· 2021-04-21
    0.786
    best: 0.927 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE1
    HCE· 2021-04-21
    253
    best: 288 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE1
    MAE· 2021-04-21
    0.094
    best: 0.031 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE1
    S-Measure· 2021-04-21
    0.722
    best: 0.899 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE1
    max F-Measure· 2021-04-21
    0.646
    best: 0.89 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE1
    weighted F-measure· 2021-04-21
    0.552
    best: 0.846 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE3
    E-measure· 2021-04-21
    0.854
    best: 0.957 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE3
    HCE· 2021-04-21
    1082
    best: 1146 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE3
    MAE· 2021-04-21
    0.092
    best: 0.027 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE3
    S-Measure· 2021-04-21
    0.777
    best: 0.928 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE3
    max F-Measure· 2021-04-21
    0.751
    best: 0.936 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonDIS-TE3
    weighted F-measure· 2021-04-21
    0.664
    best: 0.9 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D ClassificationonPCOD_1200
    S-Measure· 2021-04-21
    0.873
    best: 0.922 (CMX)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE4
    E-measure· 2021-04-21
    0.838
    best: 0.944 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE4
    HCE· 2021-04-21
    3803
    best: 3999 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE4
    MAE· 2021-04-21
    0.107
    best: 0.037 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE4
    S-Measure· 2021-04-21
    0.763
    best: 0.91 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE4
    max F-Measure· 2021-04-21
    0.731
    best: 0.912 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE4
    weighted F-measure· 2021-04-21
    0.647
    best: 0.867 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-VD
    E-measure· 2021-04-21
    0.811
    best: 0.958 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-VD
    HCE· 2021-04-21
    1606
    best: 1660 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-VD
    MAE· 2021-04-21
    0.106
    best: 0.027 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-VD
    S-Measure· 2021-04-21
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-VD
    max F-Measure· 2021-04-21
    0.691
    best: 0.923 (BEN_Base)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-VD
    weighted F-measure· 2021-04-21
    0.604
    best: 0.896 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE2
    E-measure· 2021-04-21
    0.829
    best: 0.947 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE2
    HCE· 2021-04-21
    567
    best: 621 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE2
    MAE· 2021-04-21
    0.096
    best: 0.028 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE2
    S-Measure· 2021-04-21
    0.761
    best: 0.924 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE2
    max F-Measure· 2021-04-21
    0.72
    best: 0.921 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE2
    weighted F-measure· 2021-04-21
    0.633
    best: 0.885 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE1
    E-measure· 2021-04-21
    0.786
    best: 0.927 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE1
    HCE· 2021-04-21
    253
    best: 288 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE1
    MAE· 2021-04-21
    0.094
    best: 0.031 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE1
    S-Measure· 2021-04-21
    0.722
    best: 0.899 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE1
    max F-Measure· 2021-04-21
    0.646
    best: 0.89 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE1
    weighted F-measure· 2021-04-21
    0.552
    best: 0.846 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE3
    E-measure· 2021-04-21
    0.854
    best: 0.957 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE3
    HCE· 2021-04-21
    1082
    best: 1146 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE3
    MAE· 2021-04-21
    0.092
    best: 0.027 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE3
    S-Measure· 2021-04-21
    0.777
    best: 0.928 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE3
    max F-Measure· 2021-04-21
    0.751
    best: 0.936 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononDIS-TE3
    weighted F-measure· 2021-04-21
    0.664
    best: 0.9 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 2D Object DetectiononPCOD_1200
    S-Measure· 2021-04-21
    0.873
    best: 0.922 (CMX)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE4
    E-measure· 2021-04-21
    0.838
    best: 0.944 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE4
    HCE· 2021-04-21
    3803
    best: 3999 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE4
    MAE· 2021-04-21
    0.107
    best: 0.037 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE4
    S-Measure· 2021-04-21
    0.763
    best: 0.91 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE4
    max F-Measure· 2021-04-21
    0.731
    best: 0.912 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE4
    weighted F-measure· 2021-04-21
    0.647
    best: 0.867 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-VD
    E-measure· 2021-04-21
    0.811
    best: 0.958 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-VD
    HCE· 2021-04-21
    1606
    best: 1660 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-VD
    MAE· 2021-04-21
    0.106
    best: 0.027 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-VD
    S-Measure· 2021-04-21
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-VD
    max F-Measure· 2021-04-21
    0.691
    best: 0.923 (BEN_Base)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-VD
    weighted F-measure· 2021-04-21
    0.604
    best: 0.896 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE2
    E-measure· 2021-04-21
    0.829
    best: 0.947 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE2
    HCE· 2021-04-21
    567
    best: 621 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE2
    MAE· 2021-04-21
    0.096
    best: 0.028 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE2
    S-Measure· 2021-04-21
    0.761
    best: 0.924 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE2
    max F-Measure· 2021-04-21
    0.72
    best: 0.921 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE2
    weighted F-measure· 2021-04-21
    0.633
    best: 0.885 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE1
    E-measure· 2021-04-21
    0.786
    best: 0.927 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE1
    HCE· 2021-04-21
    253
    best: 288 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE1
    MAE· 2021-04-21
    0.094
    best: 0.031 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE1
    S-Measure· 2021-04-21
    0.722
    best: 0.899 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE1
    max F-Measure· 2021-04-21
    0.646
    best: 0.89 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE1
    weighted F-measure· 2021-04-21
    0.552
    best: 0.846 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE3
    E-measure· 2021-04-21
    0.854
    best: 0.957 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE3
    HCE· 2021-04-21
    1082
    best: 1146 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE3
    MAE· 2021-04-21
    0.092
    best: 0.027 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE3
    S-Measure· 2021-04-21
    0.777
    best: 0.928 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE3
    max F-Measure· 2021-04-21
    0.751
    best: 0.936 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konDIS-TE3
    weighted F-measure· 2021-04-21
    0.664
    best: 0.9 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • 16konPCOD_1200
    S-Measure· 2021-04-21
    0.873
    best: 0.922 (CMX)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475

Computer Vision66 results

  • Object DetectiononDIS-TE4
    E-measure· 2021-04-21
    0.838
    best: 0.944 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE4
    HCE· 2021-04-21
    3803
    best: 3999 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE4
    MAE· 2021-04-21
    0.107
    best: 0.037 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE4
    S-Measure· 2021-04-21
    0.763
    best: 0.91 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE4
    max F-Measure· 2021-04-21
    0.731
    best: 0.912 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE4
    weighted F-measure· 2021-04-21
    0.647
    best: 0.867 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-VD
    E-measure· 2021-04-21
    0.811
    best: 0.958 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-VD
    HCE· 2021-04-21
    1606
    best: 1660 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-VD
    MAE· 2021-04-21
    0.106
    best: 0.027 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-VD
    S-Measure· 2021-04-21
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-VD
    max F-Measure· 2021-04-21
    0.691
    best: 0.923 (BEN_Base)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-VD
    weighted F-measure· 2021-04-21
    0.604
    best: 0.896 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE2
    E-measure· 2021-04-21
    0.829
    best: 0.947 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE2
    HCE· 2021-04-21
    567
    best: 621 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE2
    MAE· 2021-04-21
    0.096
    best: 0.028 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE2
    S-Measure· 2021-04-21
    0.761
    best: 0.924 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE2
    max F-Measure· 2021-04-21
    0.72
    best: 0.921 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE2
    weighted F-measure· 2021-04-21
    0.633
    best: 0.885 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE1
    E-measure· 2021-04-21
    0.786
    best: 0.927 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE1
    HCE· 2021-04-21
    253
    best: 288 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE1
    MAE· 2021-04-21
    0.094
    best: 0.031 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE1
    S-Measure· 2021-04-21
    0.722
    best: 0.899 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE1
    max F-Measure· 2021-04-21
    0.646
    best: 0.89 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE1
    weighted F-measure· 2021-04-21
    0.552
    best: 0.846 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE3
    E-measure· 2021-04-21
    0.854
    best: 0.957 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE3
    HCE· 2021-04-21
    1082
    best: 1146 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE3
    MAE· 2021-04-21
    0.092
    best: 0.027 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE3
    S-Measure· 2021-04-21
    0.777
    best: 0.928 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE3
    max F-Measure· 2021-04-21
    0.751
    best: 0.936 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononDIS-TE3
    weighted F-measure· 2021-04-21
    0.664
    best: 0.9 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object DetectiononPCOD_1200
    S-Measure· 2021-04-21
    0.873
    best: 0.922 (CMX)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE4
    E-measure· 2021-04-21
    0.838
    best: 0.944 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE4
    HCE· 2021-04-21
    3803
    best: 3999 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE4
    MAE· 2021-04-21
    0.107
    best: 0.037 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE4
    S-Measure· 2021-04-21
    0.763
    best: 0.91 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE4
    max F-Measure· 2021-04-21
    0.731
    best: 0.912 (MVANet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE4
    weighted F-measure· 2021-04-21
    0.647
    best: 0.867 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-VD
    E-measure· 2021-04-21
    0.811
    best: 0.958 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-VD
    HCE· 2021-04-21
    1606
    best: 1660 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-VD
    MAE· 2021-04-21
    0.106
    best: 0.027 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-VD
    S-Measure· 2021-04-21
    0.74
    best: 0.917 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-VD
    max F-Measure· 2021-04-21
    0.691
    best: 0.923 (BEN_Base)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-VD
    weighted F-measure· 2021-04-21
    0.604
    best: 0.896 (BEN_Base+Refiner)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE2
    E-measure· 2021-04-21
    0.829
    best: 0.947 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE2
    HCE· 2021-04-21
    567
    best: 621 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE2
    MAE· 2021-04-21
    0.096
    best: 0.028 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE2
    S-Measure· 2021-04-21
    0.761
    best: 0.924 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE2
    max F-Measure· 2021-04-21
    0.72
    best: 0.921 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE2
    weighted F-measure· 2021-04-21
    0.633
    best: 0.885 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE1
    E-measure· 2021-04-21
    0.786
    best: 0.927 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE1
    HCE· 2021-04-21
    253
    best: 288 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE1
    MAE· 2021-04-21
    0.094
    best: 0.031 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE1
    S-Measure· 2021-04-21
    0.722
    best: 0.899 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE1
    max F-Measure· 2021-04-21
    0.646
    best: 0.89 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE1
    weighted F-measure· 2021-04-21
    0.552
    best: 0.846 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE3
    E-measure· 2021-04-21
    0.854
    best: 0.957 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE3
    HCE· 2021-04-21
    1082
    best: 1146 (BSV1)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE3
    MAE· 2021-04-21
    0.092
    best: 0.027 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE3
    S-Measure· 2021-04-21
    0.777
    best: 0.928 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE3
    max F-Measure· 2021-04-21
    0.751
    best: 0.936 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • RGB Salient Object DetectiononDIS-TE3
    weighted F-measure· 2021-04-21
    0.664
    best: 0.9 (PDFNet)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Camouflaged Object SegmentationonPCOD_1200
    S-Measure· 2021-04-21
    0.873
    best: 0.922 (CMX)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Object SegmentationonPCOD_1200
    S-Measure· 2021-04-21
    0.873
    best: 0.922 (CMX)
    Camouflaged Object Segmentation with Distraction MiningarXiv:2104.10475
  • Interest Point DetectiononS-COCO
    MACE
    1.73
    best: 2.08 (Content-Aware)
  • Interest Point DetectiononPDS-COCO
    MACE
    2.27
    best: 2.5 (HomographyNet)
  • Interest Point DetectiononCOCO 2014
    MACE
    0.92