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Training data-efficient image transformers & distillation ...
Training data-efficient image transformers & distillation through attentionHugo Touvron?, Matthieu Cord Matthijs Douze?Francisco Massa?Alexandre Sablayrolles?Herv e J egou??Facebook AI Sorbonne UniversityAbstractRecently, neural networks purely based on attention were shown to ad-dress image understanding tasks such as image classification. These high-performing vision transformers are pre-trained with hundreds of millionsof images using a large infrastructure, thereby limiting their this work, we produce competitive convolution-free transformers bytraining on Imagenet only.
mark and have become the de facto standard. The evolution of the state of the art on the ImageNet dataset [42] reflects the progress with convolutional neural network architectures and learning [32, 44, 48, 50, 51, 57]. Despite several attempts to use transformers for image classification [7], un-
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