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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.

forms vanilla distillation by a significant margin. •Interestingly, with our distillation, image transformers learn more from a ... For example, Squeeze and Excitation [2], Selective Kernel [34] and Split-Attention Networks [61] exploit mechanism akin …

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