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Automated Ground Truth Generation for Learning-Based Crack Detection on Concrete Surfaces

This article introduces an automated data-labeling approach for generating crack ground truths (GTs) within concrete images. The main algorithm includes generating first-round GTs, pre-training a deep learning-based model, and generating second-round GTs. On the basis of the generated second-round G...

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Autors principals: Hsiang-Chieh Chen, Zheng-Ting Li
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2021-11-01
Col·lecció:Applied Sciences
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Accés en línia:https://www.mdpi.com/2076-3417/11/22/10966
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