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

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 p...

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Bibliographic Details
Main Authors: Yihan Chen, Xingyu Gu, Zhen Liu, Jia Liang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
pavement distress
image classification
deep learning
vision transformer
LeViT
visual interpretation
Online Access:https://www.mdpi.com/2072-4292/14/8/1877

Internet

https://www.mdpi.com/2072-4292/14/8/1877

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