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Models/Convolutional PMM (Parametric Matrix Model)

Convolutional PMM (Parametric Matrix Model)

Reported on 8 benchmarks across 1 task · 1 paper

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

Computer Vision8 results

  • Image ClassificationonEMNIST-Balanced
    Accuracy· 2024-01-22
    85.95
    best: 91.48 (EMNIST-mobile)
    Parametric Matrix ModelsarXiv:2401.11694
  • Image ClassificationonEMNIST-Balanced
    Trainable Parameters· 2024-01-22
    349172
    best: 3646000 (VGG-5)
    Parametric Matrix ModelsarXiv:2401.11694
  • Image ClassificationonFashion-MNIST
    Accuracy· 2024-01-22
    90.89
    best: 99.06 (pFedBreD_ns_mg)
    Parametric Matrix ModelsarXiv:2401.11694
  • Image ClassificationonFashion-MNIST
    Percentage error· 2024-01-22
    9.11
    best: 3.64 (PreAct-ResNet18 + FMix)
    Parametric Matrix ModelsarXiv:2401.11694
  • Image ClassificationonFashion-MNIST
    Trainable Parameters· 2024-01-22
    278280
    best: 892362 (R-ExplaiNet-26)
    Parametric Matrix ModelsarXiv:2401.11694
  • Image ClassificationonMNIST
    Accuracy· 2024-01-22
    98.99
    best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
    Parametric Matrix ModelsarXiv:2401.11694
  • Image ClassificationonMNIST
    Percentage error· 2024-01-22
    1.01
    best: 0.13 (Branching/Merging CNN + Homogeneous Vector Capsules)
    Parametric Matrix ModelsarXiv:2401.11694
  • Image ClassificationonMNIST
    Trainable Parameters· 2024-01-22
    129416
    best: 1882602 (Neural Architecture Search (NAS)-enabled Convolutional Neural Network (CNN))
    Parametric Matrix ModelsarXiv:2401.11694