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 kicker pro comp 10 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 T