Comparison of deep convolutional neural network classifiers and the effect of scale encoding for automated pavement assessment
Deep learning has received a growing interest in recent years for detecting different types of pavement distresses and automating pavement condition assessment. A proper choice of deep learning models is key for successful pavement assessment applications. In this study, we first present a comprehen...
Main Authors: | Elham Eslami, Hae-Bum Yun |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2023-04-01
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Series: | Journal of Traffic and Transportation Engineering (English ed. Online) |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2095756423000338 |
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