2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552
☆557Mar 16, 2020Updated 6 years ago
Alternatives and similar repositories for Cutout
Users that are interested in Cutout are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,492May 16, 2023Updated 3 years ago
- Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST☆733Nov 8, 2023Updated 2 years ago
- Official Pytorch implementation of CutMix regularizer☆1,248Sep 16, 2020Updated 5 years ago
- mixup: Beyond Empirical Risk Minimization☆1,197Oct 12, 2021Updated 4 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆296Oct 9, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A PyTorch implementation of shake-shake☆112Apr 21, 2020Updated 6 years ago
- Official Implementation of 'Fast AutoAugment' in PyTorch.☆1,605Jun 16, 2021Updated 5 years ago
- Implementation of the mixup training method☆469Jun 12, 2018Updated 8 years ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆481Jan 9, 2020Updated 6 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆270Jul 5, 2020Updated 6 years ago
- ☆68May 1, 2021Updated 5 years ago
- Classification with PyTorch.