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Models/MobileNet-v2

MobileNet-v2

Reported on 6 benchmarks across 2 tasks · 2 papers · 4 SOTA

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

Medical12 results

  • Disease PredictiononOCT2017
    Acc· 2018-01-13
    99.4
    best: 100 (UniNet)
    SOTA
    MobileNetV2: Inverted Residuals and Linear BottlenecksarXiv:1801.04381
  • Disease PredictiononOCT2017
    Sensitivity· 2018-01-13
    99.4
    best: 99.8 (OpticNet-71)
    SOTA
    MobileNetV2: Inverted Residuals and Linear BottlenecksarXiv:1801.04381
  • Medical DiagnosisonOCT2017
    Acc· 2018-01-13
    99.4
    best: 100 (UniNet)
    SOTA
    MobileNetV2: Inverted Residuals and Linear BottlenecksarXiv:1801.04381
  • Medical DiagnosisonOCT2017
    Sensitivity· 2018-01-13
    99.4
    best: 99.8 (OpticNet-71)
    SOTA
    MobileNetV2: Inverted Residuals and Linear BottlenecksarXiv:1801.04381
  • Disease PredictiononSrinivasan2014
    Acc· 2019-10-13
    97.46
    best: 100 (OpticNet-71)
    Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography ImagesarXiv:1910.05672
  • Disease PredictiononSrinivasan2014
    Acc· 2019-10-13
    97.46
    best: 100 (OpticNet-71)
    Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography ImagesarXiv:1910.05672
  • Medical DiagnosisonSrinivasan2014
    Acc· 2019-10-13
    97.46
    best: 100 (OpticNet-71)
    Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography ImagesarXiv:1910.05672
  • Medical DiagnosisonSrinivasan2014
    Acc· 2019-10-13
    97.46
    best: 100 (OpticNet-71)
    Optic-Net: A Novel Convolutional Neural Network for Diagnosis of Retinal Diseases from Optical Tomography ImagesarXiv:1910.05672
  • Disease PredictiononOCT2017
    Acc· 2018-01-13
    98.5
    best: 100 (UniNet)
    MobileNetV2: Inverted Residuals and Linear BottlenecksarXiv:1801.04381
  • Disease PredictiononOCT2017
    Sensitivity· 2018-01-13
    99.4
    best: 99.8 (OpticNet-71)
    MobileNetV2: Inverted Residuals and Linear BottlenecksarXiv:1801.04381
  • Medical DiagnosisonOCT2017
    Acc· 2018-01-13
    98.5
    best: 100 (UniNet)
    MobileNetV2: Inverted Residuals and Linear BottlenecksarXiv:1801.04381
  • Medical DiagnosisonOCT2017
    Sensitivity· 2018-01-13
    99.4
    best: 99.8 (OpticNet-71)
    MobileNetV2: Inverted Residuals and Linear BottlenecksarXiv:1801.04381