Comparative Study of Lightweight Deep Semantic Segmentation Models for Concrete Damage Detection

Comparative Study of Lightweight Deep Semantic Segmentation Models for Concrete Damage Detection

Innovative concrete structure maintenance now requires automated computer vision inspection. Modern edge computing devices (ECDs), such as smartphones, can serve as sensing and computational platforms and can be integrated with deep learning models to detect on-site damage. Due to the fact that ECDs...

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Bibliographic Details
Main Authors: Muhammad Tanveer, Byunghyun Kim, Jonghwa Hong, Sung-Han Sim, Soojin Cho
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
computer vision
edge computing device
deep learning
lightweight models
damage detection
Online Access:https://www.mdpi.com/2076-3417/12/24/12786

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https://www.mdpi.com/2076-3417/12/24/12786

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