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Models/RCN

RCN

Reported on 23 benchmarks across 8 tasks · 3 papers · 23 SOTA

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

Computer Vision13 results

  • Edge DetectiononBSDS500
    F1· 2019-04-30
    0.824
    SOTA
    Object Contour and Edge Detection with RefineContourNetarXiv:1904.13353
  • Object CountingonHowMany-QA
    Accuracy· 2018-10-29
    60.3
    best: 64 (MoVie-ResNeXt)
    SOTA
    TallyQA: Answering Complex Counting QuestionsarXiv:1810.12440
  • Object CountingonHowMany-QA
    RMSE· 2018-10-29
    2.35
    best: 2.3 (MoVie-ResNeXt)
    SOTA
    TallyQA: Answering Complex Counting QuestionsarXiv:1810.12440
  • Object CountingonTallyQA-Complex
    Accuracy· 2018-10-29
    56.2
    best: 77.1 (SMoLA-PaLI-X Specialist)
    SOTA
    TallyQA: Answering Complex Counting QuestionsarXiv:1810.12440
  • Object CountingonTallyQA-Complex
    RMSE· 2018-10-29
    1.43
    SOTA
    TallyQA: Answering Complex Counting QuestionsarXiv:1810.12440
  • Object CountingonTallyQA-Simple
    Accuracy· 2018-10-29
    71.8
    best: 86.3 (SMoLA-PaLI-X Specialist)
    SOTA
    TallyQA: Answering Complex Counting QuestionsarXiv:1810.12440
  • Object CountingonTallyQA-Simple
    RMSE· 2018-10-29
    1.13
    best: 1 (MoVie-ResNeXt)
    SOTA
    TallyQA: Answering Complex Counting QuestionsarXiv:1810.12440
  • Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)· 2017-09-05
    7.78
    best: 8.2 (ASMNet)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • Face Reconstructionon300W
    NME_inter-ocular (%, Common)· 2017-09-05
    4.2
    best: 5.09 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • Face Reconstructionon300W
    NME_inter-ocular (%, Full)· 2017-09-05
    4.9
    best: 5.63 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Challenge)· 2017-09-05
    7.78
    best: 8.2 (ASMNet)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Common)· 2017-09-05
    4.2
    best: 5.09 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • 3D Face Reconstructionon300W
    NME_inter-ocular (%, Full)· 2017-09-05
    4.9
    best: 5.63 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591

Methodology4 results

  • 2D Object DetectiononBSDS500
    F1· 2019-04-30
    0.824
    SOTA
    Object Contour and Edge Detection with RefineContourNetarXiv:1904.13353
  • 3Don300W
    NME_inter-ocular (%, Challenge)· 2017-09-05
    7.78
    best: 8.2 (ASMNet)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • 3Don300W
    NME_inter-ocular (%, Common)· 2017-09-05
    4.2
    best: 5.09 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • 3Don300W
    NME_inter-ocular (%, Full)· 2017-09-05
    4.9
    best: 5.63 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591

Music3 results

  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Challenge)· 2017-09-05
    7.78
    best: 8.2 (ASMNet)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Common)· 2017-09-05
    4.2
    best: 5.09 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • Facial Recognition and Modellingon300W
    NME_inter-ocular (%, Full)· 2017-09-05
    4.9
    best: 5.63 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591

Medical3 results

  • 3D Face Modellingon300W
    NME_inter-ocular (%, Challenge)· 2017-09-05
    7.78
    best: 8.2 (ASMNet)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Common)· 2017-09-05
    4.2
    best: 5.09 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591
  • 3D Face Modellingon300W
    NME_inter-ocular (%, Full)· 2017-09-05
    4.9
    best: 5.63 (3DDFA)
    SOTA
    Improving Landmark Localization with Semi-Supervised LearningarXiv:1709.01591