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cifarSOTA

Reviewing recent advances in classification on CIFAR 10 and 100 datasets

Table of Contents

  1. Super Convergence
  2. Stochastic Weight Averaging
  3. Born again networks
  4. Erase ReLU
  5. Cyclic learning rates
  6. Shake Drop
  7. Shake Shake
  8. mixup
  9. Cutout
  10. Random erasing
  11. SGDR
  12. Densenets
  13. Pyramid drop
  14. Pyramid Resnet
  15. ResNext
  16. Wide Resnet
  17. Preact Resnet
  18. Stochastic depth Resnets
  19. Resnet

Super Convergence

paper | caffe official

Stochastic Weight Averaging

paper | pytorch |

Born again networks

paper |

Erase ReLU

paper |

Cyclic learning rates

paper

Shake Drop

paper | lua official |

Shake Shake

paper | lua official | pytorch |

mixup

paper | pytorch official |

Cutout

paper | pytorch official |

Random erasing

paper | pytorch official |

SGDR

paper | official

Densenets

paper | official

Pyramid drop

paper

Pyramid Resnet

paper

ResNext

paper

Wide Resnet

paper

Preact Resnet

paper |

Stochastic depth Resnets

paper | official

Resnet

paper