![Review · How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers · Daily AI Archive Review · How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers · Daily AI Archive](https://dailyai.github.io/assets/210621-2.png)
Review · How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers · Daily AI Archive
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![2022-7-17 arxiv roundup: Next-ViT, Anthropic & DeepMind & Google interrogate giant language models, 16 other papers 2022-7-17 arxiv roundup: Next-ViT, Anthropic & DeepMind & Google interrogate giant language models, 16 other papers](https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F5727a202-14e4-49e5-8ce1-75007178279c_2332x1778.png)
2022-7-17 arxiv roundup: Next-ViT, Anthropic & DeepMind & Google interrogate giant language models, 16 other papers
![Accuracy vs. FLOPs for ViTs of different sizes. Labels (e.g. 12×192,... | Download Scientific Diagram Accuracy vs. FLOPs for ViTs of different sizes. Labels (e.g. 12×192,... | Download Scientific Diagram](https://www.researchgate.net/publication/373822971/figure/fig1/AS:11431281187754671@1694402220470/Accuracy-vs-FLOPs-for-ViTs-of-different-sizes-Labels-eg-12192-which-is-ViT-Tiny.png)
Accuracy vs. FLOPs for ViTs of different sizes. Labels (e.g. 12×192,... | Download Scientific Diagram
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![Dan Hendrycks on X: "While Vision Transformers (ViT) and ResNets have similar ImageNet accuracy, a @GoogleAI paper shows ViT is becoming noticeably more robust. On robustness datasets (i.e., ImageNet-C,A,R), scaling up ViTs Dan Hendrycks on X: "While Vision Transformers (ViT) and ResNets have similar ImageNet accuracy, a @GoogleAI paper shows ViT is becoming noticeably more robust. On robustness datasets (i.e., ImageNet-C,A,R), scaling up ViTs](https://pbs.twimg.com/media/ExtOm5jVIAAZZGY.jpg:large)