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Models/Focal loss (3D- ResNeXt101)

Focal loss (3D- ResNeXt101)

Reported on 10 benchmarks across 5 tasks · 1 paper · 10 SOTA

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

Methodology6 results

  • Generalized Few-Shot ClassificationonEGTEA
    Average Precision· 2017-08-07
    59.09
    best: 63.86 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002
  • Generalized Few-Shot ClassificationonEGTEA
    Average Recall· 2017-08-07
    59.17
    best: 66.24 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002
  • Long-tail LearningonEGTEA
    Average Precision· 2017-08-07
    59.09
    best: 63.86 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002
  • Long-tail LearningonEGTEA
    Average Recall· 2017-08-07
    59.17
    best: 66.24 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002
  • Generalized Few-Shot LearningonEGTEA
    Average Precision· 2017-08-07
    59.09
    best: 63.86 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002
  • Generalized Few-Shot LearningonEGTEA
    Average Recall· 2017-08-07
    59.17
    best: 66.24 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002

Computer Vision4 results

  • Image ClassificationonEGTEA
    Average Precision· 2017-08-07
    59.09
    best: 63.86 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002
  • Image ClassificationonEGTEA
    Average Recall· 2017-08-07
    59.17
    best: 66.24 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002
  • Few-Shot Image ClassificationonEGTEA
    Average Precision· 2017-08-07
    59.09
    best: 63.86 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002
  • Few-Shot Image ClassificationonEGTEA
    Average Recall· 2017-08-07
    59.17
    best: 66.24 (CDB-loss (3D- ResNeXt101))
    SOTA
    Focal Loss for Dense Object DetectionarXiv:1708.02002