Awesome
vision-transformers-cifar10
Let's train vision transformers for cifar 10!
This is an unofficial and elementary implementation of An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
I use pytorch for implementation.
Usage
python train_cifar10.py # vit-patchsize-4
python train_cifar10.py --patch 2 # vit-patchsize-2
python train_cifar10.py --net res18 # resnet18
Results..
| Accuracy | |
|---|---|
| ViT patch=2 | 80% |
| ViT patch=4 | 80% |
| ViT patch=8 | 30% |
| resnet18 | 93% ;) |
Pruning
python vitprune.py
Then you can use the saved model to finetune.
Reference
https://github.com/kentaroy47/vision-transformers-cifar10.git