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/ICNet

ICNet

Reported on 190 benchmarks across 8 tasks · 1 paper · 80 SOTA

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· 2017-04-27
    0.837
    best: 0.944 (MVANet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE4
    MAE· 2017-04-27
    0.099
    best: 0.037 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE4
    S-Measure· 2017-04-27
    0.776
    best: 0.91 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE4
    weighted F-measure· 2017-04-27
    0.663
    best: 0.867 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-VD
    E-measure· 2017-04-27
    0.811
    best: 0.958 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-VD
    S-Measure· 2017-04-27
    0.747
    best: 0.917 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-VD
    max F-Measure· 2017-04-27
    0.697
    best: 0.923 (BEN_Base)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-VD
    weighted F-measure· 2017-04-27
    0.609
    best: 0.896 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE3
    E-measure· 2017-04-27
    0.852
    best: 0.957 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE3
    MAE· 2017-04-27
    0.091
    best: 0.027 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE3
    S-Measure· 2017-04-27
    0.78
    best: 0.928 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE3
    max F-Measure· 2017-04-27
    0.752
    best: 0.936 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE3
    weighted F-measure· 2017-04-27
    0.664
    best: 0.9 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE4
    E-measure· 2017-04-27
    0.837
    best: 0.944 (MVANet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE4
    MAE· 2017-04-27
    0.099
    best: 0.037 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE4
    S-Measure· 2017-04-27
    0.776
    best: 0.91 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE4
    weighted F-measure· 2017-04-27
    0.663
    best: 0.867 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-VD
    E-measure· 2017-04-27
    0.811
    best: 0.958 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-VD
    S-Measure· 2017-04-27
    0.747
    best: 0.917 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-VD
    max F-Measure· 2017-04-27
    0.697
    best: 0.923 (BEN_Base)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-VD
    weighted F-measure· 2017-04-27
    0.609
    best: 0.896 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE3
    E-measure· 2017-04-27
    0.852
    best: 0.957 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE3
    MAE· 2017-04-27
    0.091
    best: 0.027 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE3
    S-Measure· 2017-04-27
    0.78
    best: 0.928 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE3
    max F-Measure· 2017-04-27
    0.752
    best: 0.936 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE3
    weighted F-measure· 2017-04-27
    0.664
    best: 0.9 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE4
    E-measure· 2017-04-27
    0.837
    best: 0.944 (MVANet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE4
    MAE· 2017-04-27
    0.099
    best: 0.037 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE4
    S-Measure· 2017-04-27
    0.776
    best: 0.91 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE4
    weighted F-measure· 2017-04-27
    0.663
    best: 0.867 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-VD
    E-measure· 2017-04-27
    0.811
    best: 0.958 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-VD
    S-Measure· 2017-04-27
    0.747
    best: 0.917 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-VD
    max F-Measure· 2017-04-27
    0.697
    best: 0.923 (BEN_Base)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-VD
    weighted F-measure· 2017-04-27
    0.609
    best: 0.896 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE3
    E-measure· 2017-04-27
    0.852
    best: 0.957 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE3
    MAE· 2017-04-27
    0.091
    best: 0.027 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE3
    S-Measure· 2017-04-27
    0.78
    best: 0.928 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE3
    max F-Measure· 2017-04-27
    0.752
    best: 0.936 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE3
    weighted F-measure· 2017-04-27
    0.664
    best: 0.9 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE4
    E-measure· 2017-04-27
    0.837
    best: 0.944 (MVANet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE4
    MAE· 2017-04-27
    0.099
    best: 0.037 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE4
    S-Measure· 2017-04-27
    0.776
    best: 0.91 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE4
    weighted F-measure· 2017-04-27
    0.663
    best: 0.867 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-VD
    E-measure· 2017-04-27
    0.811
    best: 0.958 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-VD
    S-Measure· 2017-04-27
    0.747
    best: 0.917 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-VD
    max F-Measure· 2017-04-27
    0.697
    best: 0.923 (BEN_Base)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-VD
    weighted F-measure· 2017-04-27
    0.609
    best: 0.896 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE3
    E-measure· 2017-04-27
    0.852
    best: 0.957 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE3
    MAE· 2017-04-27
    0.091
    best: 0.027 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE3
    S-Measure· 2017-04-27
    0.78
    best: 0.928 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE3
    max F-Measure· 2017-04-27
    0.752
    best: 0.936 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE3
    weighted F-measure· 2017-04-27
    0.664
    best: 0.9 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE4
    HCE· 2017-04-27
    3690
    best: 3999 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE4
    max F-Measure· 2017-04-27
    0.749
    best: 0.912 (MVANet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-VD
    HCE· 2017-04-27
    1503
    best: 1660 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-VD
    MAE· 2017-04-27
    0.102
    best: 0.027 (BEN_Base+Refiner)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE2
    E-measure· 2017-04-27
    0.826
    best: 0.947 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE2
    HCE· 2017-04-27
    512
    best: 621 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE2
    MAE· 2017-04-27
    0.095
    best: 0.028 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE2
    S-Measure· 2017-04-27
    0.759
    best: 0.924 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE2
    max F-Measure· 2017-04-27
    0.716
    best: 0.921 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE2
    weighted F-measure· 2017-04-27
    0.627
    best: 0.885 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE1
    E-measure· 2017-04-27
    0.784
    best: 0.927 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE1
    HCE· 2017-04-27
    234
    best: 288 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE1
    MAE· 2017-04-27
    0.095
    best: 0.031 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE1
    S-Measure· 2017-04-27
    0.716
    best: 0.899 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE1
    max F-Measure· 2017-04-27
    0.631
    best: 0.89 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE1
    weighted F-measure· 2017-04-27
    0.535
    best: 0.846 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 3DonDIS-TE3
    HCE· 2017-04-27
    1001
    best: 1146 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE4
    HCE· 2017-04-27
    3690
    best: 3999 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE4
    max F-Measure· 2017-04-27
    0.749
    best: 0.912 (MVANet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-VD
    HCE· 2017-04-27
    1503
    best: 1660 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-VD
    MAE· 2017-04-27
    0.102
    best: 0.027 (BEN_Base+Refiner)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE2
    E-measure· 2017-04-27
    0.826
    best: 0.947 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE2
    HCE· 2017-04-27
    512
    best: 621 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE2
    MAE· 2017-04-27
    0.095
    best: 0.028 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE2
    S-Measure· 2017-04-27
    0.759
    best: 0.924 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE2
    max F-Measure· 2017-04-27
    0.716
    best: 0.921 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE2
    weighted F-measure· 2017-04-27
    0.627
    best: 0.885 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE1
    E-measure· 2017-04-27
    0.784
    best: 0.927 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE1
    HCE· 2017-04-27
    234
    best: 288 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE1
    MAE· 2017-04-27
    0.095
    best: 0.031 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE1
    S-Measure· 2017-04-27
    0.716
    best: 0.899 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE1
    max F-Measure· 2017-04-27
    0.631
    best: 0.89 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE1
    weighted F-measure· 2017-04-27
    0.535
    best: 0.846 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D ClassificationonDIS-TE3
    HCE· 2017-04-27
    1001
    best: 1146 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE4
    HCE· 2017-04-27
    3690
    best: 3999 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE4
    max F-Measure· 2017-04-27
    0.749
    best: 0.912 (MVANet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-VD
    HCE· 2017-04-27
    1503
    best: 1660 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-VD
    MAE· 2017-04-27
    0.102
    best: 0.027 (BEN_Base+Refiner)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE2
    E-measure· 2017-04-27
    0.826
    best: 0.947 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE2
    HCE· 2017-04-27
    512
    best: 621 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE2
    MAE· 2017-04-27
    0.095
    best: 0.028 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE2
    S-Measure· 2017-04-27
    0.759
    best: 0.924 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE2
    max F-Measure· 2017-04-27
    0.716
    best: 0.921 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE2
    weighted F-measure· 2017-04-27
    0.627
    best: 0.885 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE1
    E-measure· 2017-04-27
    0.784
    best: 0.927 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE1
    HCE· 2017-04-27
    234
    best: 288 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE1
    MAE· 2017-04-27
    0.095
    best: 0.031 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE1
    S-Measure· 2017-04-27
    0.716
    best: 0.899 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE1
    max F-Measure· 2017-04-27
    0.631
    best: 0.89 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE1
    weighted F-measure· 2017-04-27
    0.535
    best: 0.846 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 2D Object DetectiononDIS-TE3
    HCE· 2017-04-27
    1001
    best: 1146 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE4
    HCE· 2017-04-27
    3690
    best: 3999 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE4
    max F-Measure· 2017-04-27
    0.749
    best: 0.912 (MVANet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-VD
    HCE· 2017-04-27
    1503
    best: 1660 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-VD
    MAE· 2017-04-27
    0.102
    best: 0.027 (BEN_Base+Refiner)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE2
    E-measure· 2017-04-27
    0.826
    best: 0.947 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE2
    HCE· 2017-04-27
    512
    best: 621 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE2
    MAE· 2017-04-27
    0.095
    best: 0.028 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE2
    S-Measure· 2017-04-27
    0.759
    best: 0.924 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE2
    max F-Measure· 2017-04-27
    0.716
    best: 0.921 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE2
    weighted F-measure· 2017-04-27
    0.627
    best: 0.885 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE1
    E-measure· 2017-04-27
    0.784
    best: 0.927 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE1
    HCE· 2017-04-27
    234
    best: 288 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE1
    MAE· 2017-04-27
    0.095
    best: 0.031 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE1
    S-Measure· 2017-04-27
    0.716
    best: 0.899 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE1
    max F-Measure· 2017-04-27
    0.631
    best: 0.89 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE1
    weighted F-measure· 2017-04-27
    0.535
    best: 0.846 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 16konDIS-TE3
    HCE· 2017-04-27
    1001
    best: 1146 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545

Computer Vision60 results

  • Object DetectiononDIS-TE4
    E-measure· 2017-04-27
    0.837
    best: 0.944 (MVANet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE4
    MAE· 2017-04-27
    0.099
    best: 0.037 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE4
    S-Measure· 2017-04-27
    0.776
    best: 0.91 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE4
    weighted F-measure· 2017-04-27
    0.663
    best: 0.867 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-VD
    E-measure· 2017-04-27
    0.811
    best: 0.958 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-VD
    S-Measure· 2017-04-27
    0.747
    best: 0.917 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-VD
    max F-Measure· 2017-04-27
    0.697
    best: 0.923 (BEN_Base)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-VD
    weighted F-measure· 2017-04-27
    0.609
    best: 0.896 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE3
    E-measure· 2017-04-27
    0.852
    best: 0.957 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE3
    MAE· 2017-04-27
    0.091
    best: 0.027 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE3
    S-Measure· 2017-04-27
    0.78
    best: 0.928 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE3
    max F-Measure· 2017-04-27
    0.752
    best: 0.936 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE3
    weighted F-measure· 2017-04-27
    0.664
    best: 0.9 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE4
    E-measure· 2017-04-27
    0.837
    best: 0.944 (MVANet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE4
    MAE· 2017-04-27
    0.099
    best: 0.037 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE4
    S-Measure· 2017-04-27
    0.776
    best: 0.91 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE4
    weighted F-measure· 2017-04-27
    0.663
    best: 0.867 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-VD
    E-measure· 2017-04-27
    0.811
    best: 0.958 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-VD
    S-Measure· 2017-04-27
    0.747
    best: 0.917 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-VD
    max F-Measure· 2017-04-27
    0.697
    best: 0.923 (BEN_Base)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-VD
    weighted F-measure· 2017-04-27
    0.609
    best: 0.896 (BEN_Base+Refiner)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE3
    E-measure· 2017-04-27
    0.852
    best: 0.957 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE3
    MAE· 2017-04-27
    0.091
    best: 0.027 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE3
    S-Measure· 2017-04-27
    0.78
    best: 0.928 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE3
    max F-Measure· 2017-04-27
    0.752
    best: 0.936 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE3
    weighted F-measure· 2017-04-27
    0.664
    best: 0.9 (PDFNet)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE4
    HCE· 2017-04-27
    3690
    best: 3999 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE4
    max F-Measure· 2017-04-27
    0.749
    best: 0.912 (MVANet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-VD
    HCE· 2017-04-27
    1503
    best: 1660 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-VD
    MAE· 2017-04-27
    0.102
    best: 0.027 (BEN_Base+Refiner)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE2
    E-measure· 2017-04-27
    0.826
    best: 0.947 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE2
    HCE· 2017-04-27
    512
    best: 621 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE2
    MAE· 2017-04-27
    0.095
    best: 0.028 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE2
    S-Measure· 2017-04-27
    0.759
    best: 0.924 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE2
    max F-Measure· 2017-04-27
    0.716
    best: 0.921 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE2
    weighted F-measure· 2017-04-27
    0.627
    best: 0.885 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE1
    E-measure· 2017-04-27
    0.784
    best: 0.927 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE1
    HCE· 2017-04-27
    234
    best: 288 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE1
    MAE· 2017-04-27
    0.095
    best: 0.031 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE1
    S-Measure· 2017-04-27
    0.716
    best: 0.899 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE1
    max F-Measure· 2017-04-27
    0.631
    best: 0.89 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE1
    weighted F-measure· 2017-04-27
    0.535
    best: 0.846 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Object DetectiononDIS-TE3
    HCE· 2017-04-27
    1001
    best: 1146 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE4
    HCE· 2017-04-27
    3690
    best: 3999 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE4
    max F-Measure· 2017-04-27
    0.749
    best: 0.912 (MVANet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-VD
    HCE· 2017-04-27
    1503
    best: 1660 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-VD
    MAE· 2017-04-27
    0.102
    best: 0.027 (BEN_Base+Refiner)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE2
    E-measure· 2017-04-27
    0.826
    best: 0.947 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE2
    HCE· 2017-04-27
    512
    best: 621 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE2
    MAE· 2017-04-27
    0.095
    best: 0.028 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE2
    S-Measure· 2017-04-27
    0.759
    best: 0.924 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE2
    max F-Measure· 2017-04-27
    0.716
    best: 0.921 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE2
    weighted F-measure· 2017-04-27
    0.627
    best: 0.885 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE1
    E-measure· 2017-04-27
    0.784
    best: 0.927 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE1
    HCE· 2017-04-27
    234
    best: 288 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE1
    MAE· 2017-04-27
    0.095
    best: 0.031 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE1
    S-Measure· 2017-04-27
    0.716
    best: 0.899 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE1
    max F-Measure· 2017-04-27
    0.631
    best: 0.89 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE1
    weighted F-measure· 2017-04-27
    0.535
    best: 0.846 (PDFNet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • RGB Salient Object DetectiononDIS-TE3
    HCE· 2017-04-27
    1001
    best: 1146 (BSV1)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545

Medical5 results

  • Semantic SegmentationonCamVid
    Frame (fps)· 2017-04-27
    27.8
    best: 222.3 (PP-LiteSeg-T)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Semantic SegmentationonTrans10K
    GFLOPs· 2017-04-27
    10.64
    best: 198 (DANet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Semantic SegmentationonCityscapes test
    Frame (fps)· 2017-04-27
    30.3
    best: 188.6 (STDC2-50)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Semantic SegmentationonCityscapes test
    Time (ms)· 2017-04-27
    33
    best: 4000 (DeepLab)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • Semantic SegmentationonCamVid
    Time (ms)· 2017-04-27
    36
    best: 227 (Dilation10)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545

Audio5 results

  • 10-shot image generationonCamVid
    Frame (fps)· 2017-04-27
    27.8
    best: 222.3 (PP-LiteSeg-T)
    SOTA
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 10-shot image generationonTrans10K
    GFLOPs· 2017-04-27
    10.64
    best: 198 (DANet)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 10-shot image generationonCityscapes test
    Frame (fps)· 2017-04-27
    30.3
    best: 188.6 (STDC2-50)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 10-shot image generationonCityscapes test
    Time (ms)· 2017-04-27
    33
    best: 4000 (DeepLab)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545
  • 10-shot image generationonCamVid
    Time (ms)· 2017-04-27
    36
    best: 227 (Dilation10)
    ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesarXiv:1704.08545