In this tutorial we will first look at how we can use RandAugment to train our models using timm 's training script. Next, we will also look at how one can ... ... <看更多>

Models can be trained with RandAugment for the dataset of interest with no need for a separate proxy task. By only tuning two hyperparameters(N, M), ... ... <看更多>

RandAugment is a stochastic data augmentation routine for vision data and was proposed in RandAugment: Practical automated data augmentation ... ... <看更多>

randaugment · Here are 13 public repositories matching this topic... · Improve this page · Add this topic to your repo. ... <看更多>

I am busy implementing RandAugment in Tensorflow and have successfully created functions for most of the augmentations as shown in the code ... ... <看更多>

Some thing interesting about randaugment Here are 13 public repositories matching this topic.. ... <看更多>

We used RandAugment with a magnitude of 5 in all ImageNet experiments here. The value of 10 given in the paper is a typo: we'll fix it in the next draft we ... ... <看更多>

randaugment · Here are 13 public repositories matching this topic... · Improve this page · Add this topic to your repo. ... <看更多>

RandAugment : Practical automated data augmentation with a reduced search space Cubuk et al.: https://arxiv.org/abs/1909.13719 Code:... ... <看更多>