Traditional automatic pavement distress detection methods using convolutional neural networks (CNNs) require a great deal of time and resources for computing and are poor in terms of interpretability. Therefore. inspired by the successful application of Transformer architecture in natural language processing (NLP) tasks. a novel Transformer method called LeViT was introduced for autom... https://parisnaturalfoodes.shop/product-category/cacao-crunch-cereal/
A Fast Inference Vision Transformer for Automatic Pavement Image Classification and Its Visual Interpretation Method
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