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Train from scratch

By using our code, we reproduce the results of our Fast MPN-COV ResNet models on ImageNet 2012.

Our experiments are running on

  • PyTorch 0.4 or above
  • 2 x 1080Ti
  • Cuda 9.0 with CuDNN 7.0

Results

Classification results (single crop 224x224, %) on ImageNet 2012 validation set

Network Top-1 Error Top-5 Error
paper reproduce paper reproduce
fast MPN-COV-ResNet50 22.14 21.71 6.22 6.13
fast MPN-COV-ResNet101 21.21 20.99 5.68 5.56