ViT-Mini_D9

Reported on 2 benchmarks across 1 task

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

Computer Vision2 results

  • Image ClassificationonMNIST
    Accuracy
    98.03
    best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
  • Image ClassificationonMNIST
    Trainable Parameters
    1208586
    best: 1882602 (Neural Architecture Search (NAS)-enabled Convolutional Neural Network (CNN))