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/BSV1

BSV1

Reported on 180 benchmarks across 6 tasks · 1 paper · 30 SOTA

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

Methodology120 results

  • 3DonDIS-TE4
    HCE· 2018-08-02
    3999
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-VD
    HCE· 2018-08-02
    1660
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE2
    HCE· 2018-08-02
    621
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE1
    HCE· 2018-08-02
    288
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE3
    HCE· 2018-08-02
    1146
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE4
    HCE· 2018-08-02
    3999
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-VD
    HCE· 2018-08-02
    1660
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE2
    HCE· 2018-08-02
    621
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE1
    HCE· 2018-08-02
    288
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE3
    HCE· 2018-08-02
    1146
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE4
    HCE· 2018-08-02
    3999
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-VD
    HCE· 2018-08-02
    1660
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE2
    HCE· 2018-08-02
    621
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE1
    HCE· 2018-08-02
    288
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE3
    HCE· 2018-08-02
    1146
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE4
    HCE· 2018-08-02
    3999
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-VD
    HCE· 2018-08-02
    1660
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE2
    HCE· 2018-08-02
    621
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE1
    HCE· 2018-08-02
    288
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE3
    HCE· 2018-08-02
    1146
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE4
    E-measure· 2018-08-02
    0.788
    best: 0.944 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE4
    MAE· 2018-08-02
    0.114
    best: 0.037 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE4
    S-Measure· 2018-08-02
    0.755
    best: 0.91 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE4
    max F-Measure· 2018-08-02
    0.71
    best: 0.912 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE4
    weighted F-measure· 2018-08-02
    0.598
    best: 0.867 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-VD
    E-measure· 2018-08-02
    0.767
    best: 0.958 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-VD
    MAE· 2018-08-02
    0.116
    best: 0.027 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-VD
    S-Measure· 2018-08-02
    0.728
    best: 0.917 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-VD
    max F-Measure· 2018-08-02
    0.662
    best: 0.923 (BEN_Base)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-VD
    weighted F-measure· 2018-08-02
    0.548
    best: 0.896 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE2
    E-measure· 2018-08-02
    0.781
    best: 0.947 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE2
    MAE· 2018-08-02
    0.111
    best: 0.028 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE2
    S-Measure· 2018-08-02
    0.74
    best: 0.924 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE2
    max F-Measure· 2018-08-02
    0.68
    best: 0.921 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE2
    weighted F-measure· 2018-08-02
    0.564
    best: 0.885 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE1
    E-measure· 2018-08-02
    0.741
    best: 0.927 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE1
    MAE· 2018-08-02
    0.108
    best: 0.031 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE1
    S-Measure· 2018-08-02
    0.695
    best: 0.899 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE1
    max F-Measure· 2018-08-02
    0.595
    best: 0.89 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE1
    weighted F-measure· 2018-08-02
    0.474
    best: 0.846 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE3
    E-measure· 2018-08-02
    0.801
    best: 0.957 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE3
    MAE· 2018-08-02
    0.109
    best: 0.027 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE3
    S-Measure· 2018-08-02
    0.757
    best: 0.928 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE3
    max F-Measure· 2018-08-02
    0.71
    best: 0.936 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 3DonDIS-TE3
    weighted F-measure· 2018-08-02
    0.595
    best: 0.9 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE4
    E-measure· 2018-08-02
    0.788
    best: 0.944 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE4
    MAE· 2018-08-02
    0.114
    best: 0.037 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE4
    S-Measure· 2018-08-02
    0.755
    best: 0.91 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE4
    max F-Measure· 2018-08-02
    0.71
    best: 0.912 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE4
    weighted F-measure· 2018-08-02
    0.598
    best: 0.867 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-VD
    E-measure· 2018-08-02
    0.767
    best: 0.958 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-VD
    MAE· 2018-08-02
    0.116
    best: 0.027 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-VD
    S-Measure· 2018-08-02
    0.728
    best: 0.917 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-VD
    max F-Measure· 2018-08-02
    0.662
    best: 0.923 (BEN_Base)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-VD
    weighted F-measure· 2018-08-02
    0.548
    best: 0.896 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE2
    E-measure· 2018-08-02
    0.781
    best: 0.947 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE2
    MAE· 2018-08-02
    0.111
    best: 0.028 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE2
    S-Measure· 2018-08-02
    0.74
    best: 0.924 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE2
    max F-Measure· 2018-08-02
    0.68
    best: 0.921 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE2
    weighted F-measure· 2018-08-02
    0.564
    best: 0.885 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE1
    E-measure· 2018-08-02
    0.741
    best: 0.927 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE1
    MAE· 2018-08-02
    0.108
    best: 0.031 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE1
    S-Measure· 2018-08-02
    0.695
    best: 0.899 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE1
    max F-Measure· 2018-08-02
    0.595
    best: 0.89 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE1
    weighted F-measure· 2018-08-02
    0.474
    best: 0.846 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE3
    E-measure· 2018-08-02
    0.801
    best: 0.957 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE3
    MAE· 2018-08-02
    0.109
    best: 0.027 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE3
    S-Measure· 2018-08-02
    0.757
    best: 0.928 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE3
    max F-Measure· 2018-08-02
    0.71
    best: 0.936 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D ClassificationonDIS-TE3
    weighted F-measure· 2018-08-02
    0.595
    best: 0.9 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE4
    E-measure· 2018-08-02
    0.788
    best: 0.944 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE4
    MAE· 2018-08-02
    0.114
    best: 0.037 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE4
    S-Measure· 2018-08-02
    0.755
    best: 0.91 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE4
    max F-Measure· 2018-08-02
    0.71
    best: 0.912 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE4
    weighted F-measure· 2018-08-02
    0.598
    best: 0.867 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-VD
    E-measure· 2018-08-02
    0.767
    best: 0.958 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-VD
    MAE· 2018-08-02
    0.116
    best: 0.027 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-VD
    S-Measure· 2018-08-02
    0.728
    best: 0.917 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-VD
    max F-Measure· 2018-08-02
    0.662
    best: 0.923 (BEN_Base)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-VD
    weighted F-measure· 2018-08-02
    0.548
    best: 0.896 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE2
    E-measure· 2018-08-02
    0.781
    best: 0.947 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE2
    MAE· 2018-08-02
    0.111
    best: 0.028 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE2
    S-Measure· 2018-08-02
    0.74
    best: 0.924 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE2
    max F-Measure· 2018-08-02
    0.68
    best: 0.921 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE2
    weighted F-measure· 2018-08-02
    0.564
    best: 0.885 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE1
    E-measure· 2018-08-02
    0.741
    best: 0.927 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE1
    MAE· 2018-08-02
    0.108
    best: 0.031 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE1
    S-Measure· 2018-08-02
    0.695
    best: 0.899 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE1
    max F-Measure· 2018-08-02
    0.595
    best: 0.89 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE1
    weighted F-measure· 2018-08-02
    0.474
    best: 0.846 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE3
    E-measure· 2018-08-02
    0.801
    best: 0.957 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE3
    MAE· 2018-08-02
    0.109
    best: 0.027 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE3
    S-Measure· 2018-08-02
    0.757
    best: 0.928 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE3
    max F-Measure· 2018-08-02
    0.71
    best: 0.936 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 2D Object DetectiononDIS-TE3
    weighted F-measure· 2018-08-02
    0.595
    best: 0.9 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE4
    E-measure· 2018-08-02
    0.788
    best: 0.944 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE4
    MAE· 2018-08-02
    0.114
    best: 0.037 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE4
    S-Measure· 2018-08-02
    0.755
    best: 0.91 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE4
    max F-Measure· 2018-08-02
    0.71
    best: 0.912 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE4
    weighted F-measure· 2018-08-02
    0.598
    best: 0.867 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-VD
    E-measure· 2018-08-02
    0.767
    best: 0.958 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-VD
    MAE· 2018-08-02
    0.116
    best: 0.027 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-VD
    S-Measure· 2018-08-02
    0.728
    best: 0.917 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-VD
    max F-Measure· 2018-08-02
    0.662
    best: 0.923 (BEN_Base)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-VD
    weighted F-measure· 2018-08-02
    0.548
    best: 0.896 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE2
    E-measure· 2018-08-02
    0.781
    best: 0.947 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE2
    MAE· 2018-08-02
    0.111
    best: 0.028 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE2
    S-Measure· 2018-08-02
    0.74
    best: 0.924 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE2
    max F-Measure· 2018-08-02
    0.68
    best: 0.921 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE2
    weighted F-measure· 2018-08-02
    0.564
    best: 0.885 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE1
    E-measure· 2018-08-02
    0.741
    best: 0.927 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE1
    MAE· 2018-08-02
    0.108
    best: 0.031 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE1
    S-Measure· 2018-08-02
    0.695
    best: 0.899 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE1
    max F-Measure· 2018-08-02
    0.595
    best: 0.89 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE1
    weighted F-measure· 2018-08-02
    0.474
    best: 0.846 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE3
    E-measure· 2018-08-02
    0.801
    best: 0.957 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE3
    MAE· 2018-08-02
    0.109
    best: 0.027 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE3
    S-Measure· 2018-08-02
    0.757
    best: 0.928 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE3
    max F-Measure· 2018-08-02
    0.71
    best: 0.936 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • 16konDIS-TE3
    weighted F-measure· 2018-08-02
    0.595
    best: 0.9 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897

Computer Vision60 results

  • Object DetectiononDIS-TE4
    HCE· 2018-08-02
    3999
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-VD
    HCE· 2018-08-02
    1660
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE2
    HCE· 2018-08-02
    621
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE1
    HCE· 2018-08-02
    288
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE3
    HCE· 2018-08-02
    1146
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE4
    HCE· 2018-08-02
    3999
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-VD
    HCE· 2018-08-02
    1660
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE2
    HCE· 2018-08-02
    621
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE1
    HCE· 2018-08-02
    288
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE3
    HCE· 2018-08-02
    1146
    SOTA
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE4
    E-measure· 2018-08-02
    0.788
    best: 0.944 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE4
    MAE· 2018-08-02
    0.114
    best: 0.037 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE4
    S-Measure· 2018-08-02
    0.755
    best: 0.91 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE4
    max F-Measure· 2018-08-02
    0.71
    best: 0.912 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE4
    weighted F-measure· 2018-08-02
    0.598
    best: 0.867 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-VD
    E-measure· 2018-08-02
    0.767
    best: 0.958 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-VD
    MAE· 2018-08-02
    0.116
    best: 0.027 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-VD
    S-Measure· 2018-08-02
    0.728
    best: 0.917 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-VD
    max F-Measure· 2018-08-02
    0.662
    best: 0.923 (BEN_Base)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-VD
    weighted F-measure· 2018-08-02
    0.548
    best: 0.896 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE2
    E-measure· 2018-08-02
    0.781
    best: 0.947 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE2
    MAE· 2018-08-02
    0.111
    best: 0.028 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE2
    S-Measure· 2018-08-02
    0.74
    best: 0.924 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE2
    max F-Measure· 2018-08-02
    0.68
    best: 0.921 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE2
    weighted F-measure· 2018-08-02
    0.564
    best: 0.885 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE1
    E-measure· 2018-08-02
    0.741
    best: 0.927 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE1
    MAE· 2018-08-02
    0.108
    best: 0.031 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE1
    S-Measure· 2018-08-02
    0.695
    best: 0.899 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE1
    max F-Measure· 2018-08-02
    0.595
    best: 0.89 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE1
    weighted F-measure· 2018-08-02
    0.474
    best: 0.846 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE3
    E-measure· 2018-08-02
    0.801
    best: 0.957 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE3
    MAE· 2018-08-02
    0.109
    best: 0.027 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE3
    S-Measure· 2018-08-02
    0.757
    best: 0.928 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE3
    max F-Measure· 2018-08-02
    0.71
    best: 0.936 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • Object DetectiononDIS-TE3
    weighted F-measure· 2018-08-02
    0.595
    best: 0.9 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE4
    E-measure· 2018-08-02
    0.788
    best: 0.944 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE4
    MAE· 2018-08-02
    0.114
    best: 0.037 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE4
    S-Measure· 2018-08-02
    0.755
    best: 0.91 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE4
    max F-Measure· 2018-08-02
    0.71
    best: 0.912 (MVANet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE4
    weighted F-measure· 2018-08-02
    0.598
    best: 0.867 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-VD
    E-measure· 2018-08-02
    0.767
    best: 0.958 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-VD
    MAE· 2018-08-02
    0.116
    best: 0.027 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-VD
    S-Measure· 2018-08-02
    0.728
    best: 0.917 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-VD
    max F-Measure· 2018-08-02
    0.662
    best: 0.923 (BEN_Base)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-VD
    weighted F-measure· 2018-08-02
    0.548
    best: 0.896 (BEN_Base+Refiner)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE2
    E-measure· 2018-08-02
    0.781
    best: 0.947 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE2
    MAE· 2018-08-02
    0.111
    best: 0.028 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE2
    S-Measure· 2018-08-02
    0.74
    best: 0.924 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE2
    max F-Measure· 2018-08-02
    0.68
    best: 0.921 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE2
    weighted F-measure· 2018-08-02
    0.564
    best: 0.885 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE1
    E-measure· 2018-08-02
    0.741
    best: 0.927 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE1
    MAE· 2018-08-02
    0.108
    best: 0.031 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE1
    S-Measure· 2018-08-02
    0.695
    best: 0.899 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE1
    max F-Measure· 2018-08-02
    0.595
    best: 0.89 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE1
    weighted F-measure· 2018-08-02
    0.474
    best: 0.846 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE3
    E-measure· 2018-08-02
    0.801
    best: 0.957 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE3
    MAE· 2018-08-02
    0.109
    best: 0.027 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE3
    S-Measure· 2018-08-02
    0.757
    best: 0.928 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE3
    max F-Measure· 2018-08-02
    0.71
    best: 0.936 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897
  • RGB Salient Object DetectiononDIS-TE3
    weighted F-measure· 2018-08-02
    0.595
    best: 0.9 (PDFNet)
    BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationarXiv:1808.00897