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...
Main Authors: | Yihan Chen, Xingyu Gu, Zhen Liu, Jia Liang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/8/1877 |
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