A Fast Inference Vision Transformer for Automatic Pavement Image Classification and Its Visual Interpretation Method
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 c