TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/HySM

HySM

Reported on 180 benchmarks across 6 tasks · 1 paper · 36 SOTA

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

Methodology120 results

  • 3DonDIS-TE2
    S-Measure· 2020-12-21
    0.794
    best: 0.924 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE2
    max F-Measure· 2020-12-21
    0.759
    best: 0.921 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE1
    MAE· 2020-12-21
    0.082
    best: 0.031 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE1
    S-Measure· 2020-12-21
    0.761
    best: 0.899 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE1
    max F-Measure· 2020-12-21
    0.695
    best: 0.89 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE3
    S-Measure· 2020-12-21
    0.811
    best: 0.928 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE2
    S-Measure· 2020-12-21
    0.794
    best: 0.924 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE2
    max F-Measure· 2020-12-21
    0.759
    best: 0.921 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE1
    MAE· 2020-12-21
    0.082
    best: 0.031 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE1
    S-Measure· 2020-12-21
    0.761
    best: 0.899 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE1
    max F-Measure· 2020-12-21
    0.695
    best: 0.89 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE3
    S-Measure· 2020-12-21
    0.811
    best: 0.928 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE2
    S-Measure· 2020-12-21
    0.794
    best: 0.924 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE2
    max F-Measure· 2020-12-21
    0.759
    best: 0.921 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE1
    MAE· 2020-12-21
    0.082
    best: 0.031 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE1
    S-Measure· 2020-12-21
    0.761
    best: 0.899 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE1
    max F-Measure· 2020-12-21
    0.695
    best: 0.89 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE3
    S-Measure· 2020-12-21
    0.811
    best: 0.928 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE2
    S-Measure· 2020-12-21
    0.794
    best: 0.924 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE2
    max F-Measure· 2020-12-21
    0.759
    best: 0.921 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE1
    MAE· 2020-12-21
    0.082
    best: 0.031 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE1
    S-Measure· 2020-12-21
    0.761
    best: 0.899 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE1
    max F-Measure· 2020-12-21
    0.695
    best: 0.89 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE3
    S-Measure· 2020-12-21
    0.811
    best: 0.928 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE4
    E-measure· 2020-12-21
    0.842
    best: 0.944 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE4
    HCE· 2020-12-21
    3331
    best: 3999 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE4
    MAE· 2020-12-21
    0.091
    best: 0.037 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE4
    S-Measure· 2020-12-21
    0.802
    best: 0.91 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE4
    max F-Measure· 2020-12-21
    0.782
    best: 0.912 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE4
    weighted F-measure· 2020-12-21
    0.693
    best: 0.867 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-VD
    E-measure· 2020-12-21
    0.814
    best: 0.958 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-VD
    HCE· 2020-12-21
    1324
    best: 1660 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-VD
    MAE· 2020-12-21
    0.096
    best: 0.027 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-VD
    S-Measure· 2020-12-21
    0.773
    best: 0.917 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-VD
    max F-Measure· 2020-12-21
    0.734
    best: 0.923 (BEN_Base)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-VD
    weighted F-measure· 2020-12-21
    0.64
    best: 0.896 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE2
    E-measure· 2020-12-21
    0.832
    best: 0.947 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE2
    HCE· 2020-12-21
    451
    best: 621 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE2
    MAE· 2020-12-21
    0.085
    best: 0.028 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE2
    weighted F-measure· 2020-12-21
    0.667
    best: 0.885 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE1
    E-measure· 2020-12-21
    0.803
    best: 0.927 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE1
    HCE· 2020-12-21
    205
    best: 288 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE1
    weighted F-measure· 2020-12-21
    0.597
    best: 0.846 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE3
    E-measure· 2020-12-21
    0.857
    best: 0.957 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE3
    HCE· 2020-12-21
    887
    best: 1146 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE3
    MAE· 2020-12-21
    0.079
    best: 0.027 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE3
    max F-Measure· 2020-12-21
    0.792
    best: 0.936 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 3DonDIS-TE3
    weighted F-measure· 2020-12-21
    0.701
    best: 0.9 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE4
    E-measure· 2020-12-21
    0.842
    best: 0.944 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE4
    HCE· 2020-12-21
    3331
    best: 3999 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE4
    MAE· 2020-12-21
    0.091
    best: 0.037 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE4
    S-Measure· 2020-12-21
    0.802
    best: 0.91 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE4
    max F-Measure· 2020-12-21
    0.782
    best: 0.912 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE4
    weighted F-measure· 2020-12-21
    0.693
    best: 0.867 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-VD
    E-measure· 2020-12-21
    0.814
    best: 0.958 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-VD
    HCE· 2020-12-21
    1324
    best: 1660 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-VD
    MAE· 2020-12-21
    0.096
    best: 0.027 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-VD
    S-Measure· 2020-12-21
    0.773
    best: 0.917 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-VD
    max F-Measure· 2020-12-21
    0.734
    best: 0.923 (BEN_Base)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-VD
    weighted F-measure· 2020-12-21
    0.64
    best: 0.896 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE2
    E-measure· 2020-12-21
    0.832
    best: 0.947 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE2
    HCE· 2020-12-21
    451
    best: 621 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE2
    MAE· 2020-12-21
    0.085
    best: 0.028 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE2
    weighted F-measure· 2020-12-21
    0.667
    best: 0.885 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE1
    E-measure· 2020-12-21
    0.803
    best: 0.927 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE1
    HCE· 2020-12-21
    205
    best: 288 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE1
    weighted F-measure· 2020-12-21
    0.597
    best: 0.846 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE3
    E-measure· 2020-12-21
    0.857
    best: 0.957 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE3
    HCE· 2020-12-21
    887
    best: 1146 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE3
    MAE· 2020-12-21
    0.079
    best: 0.027 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE3
    max F-Measure· 2020-12-21
    0.792
    best: 0.936 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D ClassificationonDIS-TE3
    weighted F-measure· 2020-12-21
    0.701
    best: 0.9 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE4
    E-measure· 2020-12-21
    0.842
    best: 0.944 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE4
    HCE· 2020-12-21
    3331
    best: 3999 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE4
    MAE· 2020-12-21
    0.091
    best: 0.037 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE4
    S-Measure· 2020-12-21
    0.802
    best: 0.91 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE4
    max F-Measure· 2020-12-21
    0.782
    best: 0.912 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE4
    weighted F-measure· 2020-12-21
    0.693
    best: 0.867 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-VD
    E-measure· 2020-12-21
    0.814
    best: 0.958 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-VD
    HCE· 2020-12-21
    1324
    best: 1660 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-VD
    MAE· 2020-12-21
    0.096
    best: 0.027 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-VD
    S-Measure· 2020-12-21
    0.773
    best: 0.917 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-VD
    max F-Measure· 2020-12-21
    0.734
    best: 0.923 (BEN_Base)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-VD
    weighted F-measure· 2020-12-21
    0.64
    best: 0.896 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE2
    E-measure· 2020-12-21
    0.832
    best: 0.947 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE2
    HCE· 2020-12-21
    451
    best: 621 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE2
    MAE· 2020-12-21
    0.085
    best: 0.028 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE2
    weighted F-measure· 2020-12-21
    0.667
    best: 0.885 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE1
    E-measure· 2020-12-21
    0.803
    best: 0.927 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE1
    HCE· 2020-12-21
    205
    best: 288 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE1
    weighted F-measure· 2020-12-21
    0.597
    best: 0.846 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE3
    E-measure· 2020-12-21
    0.857
    best: 0.957 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE3
    HCE· 2020-12-21
    887
    best: 1146 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE3
    MAE· 2020-12-21
    0.079
    best: 0.027 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE3
    max F-Measure· 2020-12-21
    0.792
    best: 0.936 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 2D Object DetectiononDIS-TE3
    weighted F-measure· 2020-12-21
    0.701
    best: 0.9 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE4
    E-measure· 2020-12-21
    0.842
    best: 0.944 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE4
    HCE· 2020-12-21
    3331
    best: 3999 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE4
    MAE· 2020-12-21
    0.091
    best: 0.037 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE4
    S-Measure· 2020-12-21
    0.802
    best: 0.91 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE4
    max F-Measure· 2020-12-21
    0.782
    best: 0.912 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE4
    weighted F-measure· 2020-12-21
    0.693
    best: 0.867 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-VD
    E-measure· 2020-12-21
    0.814
    best: 0.958 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-VD
    HCE· 2020-12-21
    1324
    best: 1660 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-VD
    MAE· 2020-12-21
    0.096
    best: 0.027 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-VD
    S-Measure· 2020-12-21
    0.773
    best: 0.917 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-VD
    max F-Measure· 2020-12-21
    0.734
    best: 0.923 (BEN_Base)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-VD
    weighted F-measure· 2020-12-21
    0.64
    best: 0.896 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE2
    E-measure· 2020-12-21
    0.832
    best: 0.947 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE2
    HCE· 2020-12-21
    451
    best: 621 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE2
    MAE· 2020-12-21
    0.085
    best: 0.028 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE2
    weighted F-measure· 2020-12-21
    0.667
    best: 0.885 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE1
    E-measure· 2020-12-21
    0.803
    best: 0.927 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE1
    HCE· 2020-12-21
    205
    best: 288 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE1
    weighted F-measure· 2020-12-21
    0.597
    best: 0.846 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE3
    E-measure· 2020-12-21
    0.857
    best: 0.957 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE3
    HCE· 2020-12-21
    887
    best: 1146 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE3
    MAE· 2020-12-21
    0.079
    best: 0.027 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE3
    max F-Measure· 2020-12-21
    0.792
    best: 0.936 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • 16konDIS-TE3
    weighted F-measure· 2020-12-21
    0.701
    best: 0.9 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582

Computer Vision60 results

  • Object DetectiononDIS-TE2
    S-Measure· 2020-12-21
    0.794
    best: 0.924 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE2
    max F-Measure· 2020-12-21
    0.759
    best: 0.921 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE1
    MAE· 2020-12-21
    0.082
    best: 0.031 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE1
    S-Measure· 2020-12-21
    0.761
    best: 0.899 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE1
    max F-Measure· 2020-12-21
    0.695
    best: 0.89 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE3
    S-Measure· 2020-12-21
    0.811
    best: 0.928 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE2
    S-Measure· 2020-12-21
    0.794
    best: 0.924 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE2
    max F-Measure· 2020-12-21
    0.759
    best: 0.921 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE1
    MAE· 2020-12-21
    0.082
    best: 0.031 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE1
    S-Measure· 2020-12-21
    0.761
    best: 0.899 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE1
    max F-Measure· 2020-12-21
    0.695
    best: 0.89 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE3
    S-Measure· 2020-12-21
    0.811
    best: 0.928 (PDFNet)
    SOTA
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE4
    E-measure· 2020-12-21
    0.842
    best: 0.944 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE4
    HCE· 2020-12-21
    3331
    best: 3999 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE4
    MAE· 2020-12-21
    0.091
    best: 0.037 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE4
    S-Measure· 2020-12-21
    0.802
    best: 0.91 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE4
    max F-Measure· 2020-12-21
    0.782
    best: 0.912 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE4
    weighted F-measure· 2020-12-21
    0.693
    best: 0.867 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-VD
    E-measure· 2020-12-21
    0.814
    best: 0.958 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-VD
    HCE· 2020-12-21
    1324
    best: 1660 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-VD
    MAE· 2020-12-21
    0.096
    best: 0.027 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-VD
    S-Measure· 2020-12-21
    0.773
    best: 0.917 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-VD
    max F-Measure· 2020-12-21
    0.734
    best: 0.923 (BEN_Base)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-VD
    weighted F-measure· 2020-12-21
    0.64
    best: 0.896 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE2
    E-measure· 2020-12-21
    0.832
    best: 0.947 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE2
    HCE· 2020-12-21
    451
    best: 621 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE2
    MAE· 2020-12-21
    0.085
    best: 0.028 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE2
    weighted F-measure· 2020-12-21
    0.667
    best: 0.885 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE1
    E-measure· 2020-12-21
    0.803
    best: 0.927 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE1
    HCE· 2020-12-21
    205
    best: 288 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE1
    weighted F-measure· 2020-12-21
    0.597
    best: 0.846 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE3
    E-measure· 2020-12-21
    0.857
    best: 0.957 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE3
    HCE· 2020-12-21
    887
    best: 1146 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE3
    MAE· 2020-12-21
    0.079
    best: 0.027 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE3
    max F-Measure· 2020-12-21
    0.792
    best: 0.936 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • Object DetectiononDIS-TE3
    weighted F-measure· 2020-12-21
    0.701
    best: 0.9 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE4
    E-measure· 2020-12-21
    0.842
    best: 0.944 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE4
    HCE· 2020-12-21
    3331
    best: 3999 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE4
    MAE· 2020-12-21
    0.091
    best: 0.037 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE4
    S-Measure· 2020-12-21
    0.802
    best: 0.91 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE4
    max F-Measure· 2020-12-21
    0.782
    best: 0.912 (MVANet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE4
    weighted F-measure· 2020-12-21
    0.693
    best: 0.867 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-VD
    E-measure· 2020-12-21
    0.814
    best: 0.958 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-VD
    HCE· 2020-12-21
    1324
    best: 1660 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-VD
    MAE· 2020-12-21
    0.096
    best: 0.027 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-VD
    S-Measure· 2020-12-21
    0.773
    best: 0.917 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-VD
    max F-Measure· 2020-12-21
    0.734
    best: 0.923 (BEN_Base)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-VD
    weighted F-measure· 2020-12-21
    0.64
    best: 0.896 (BEN_Base+Refiner)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE2
    E-measure· 2020-12-21
    0.832
    best: 0.947 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE2
    HCE· 2020-12-21
    451
    best: 621 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE2
    MAE· 2020-12-21
    0.085
    best: 0.028 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE2
    weighted F-measure· 2020-12-21
    0.667
    best: 0.885 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE1
    E-measure· 2020-12-21
    0.803
    best: 0.927 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE1
    HCE· 2020-12-21
    205
    best: 288 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE1
    weighted F-measure· 2020-12-21
    0.597
    best: 0.846 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE3
    E-measure· 2020-12-21
    0.857
    best: 0.957 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE3
    HCE· 2020-12-21
    887
    best: 1146 (BSV1)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE3
    MAE· 2020-12-21
    0.079
    best: 0.027 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE3
    max F-Measure· 2020-12-21
    0.792
    best: 0.936 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582
  • RGB Salient Object DetectiononDIS-TE3
    weighted F-measure· 2020-12-21
    0.701
    best: 0.9 (PDFNet)
    HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationarXiv:2012.11582