LeViT: a Vision Transformer in ConvNets Clothing for Faster Inference As a result, we propose LeVIT: a hybrid neural network for fast inference image classification We consider different measures of efficiency on different hardware platforms, so as to best reflect a wide range of application scenarios
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LeVIT Explained - Papers With Code LeVIT is a hybrid neural network for fast inference image classification LeViT is a stack of transformer blocks, with pooling steps to reduce the resolution of the activation maps as in classical convolutional architectures
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