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Research article

First published 2025-7

Segment anything model-based crack segmentation using low-rank adaption fine-tuning

Yapeng Guo, Yang Xu, Hongtao Cui [...]

Structural Health Monitoring

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Research article

First published 2025-6

Enhanced Crack Segmentation Using Meta’s Segment Anything Model with Low-Cost Ground Truths and Multimodal Prompts

Tanner Wambui Muturi, Yaw Adu-Gyamfi

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2025-5

Intelligent segmentation and quantification of tunnel lining cracks via computer vision

Yong Feng, Xiao-Lei Zhang, Shi-Jin Feng [...]

Structural Health Monitoring

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Research article

First published 2024-01-10

A multi-scale residual encoding network for concrete crack segmentation

Die Liu, MengDie Xu, ZhiTing Li [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2025-9

Deeplab-based Road Crack Segmentation with Attention and Dynamic Convolution

Xiao Ye, Kaiqiong Sun, Jing Liu [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2022-8

Semantic segmentation model for crack images from concrete bridges for mobile devices

Enrique Lopez Droguett, Juan Tapia, Claudio Yanez [...]

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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Research article

First published 2024-2

Bayesian-optimized unsupervised semantic segmentation model for structural crack detection

Qixin Sun, Ruiping Zheng, Boqiang Xu

Advances in Structural Engineering

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Research article

First published 2026

Automatic crack segmentation network based on large kernel pooling transformer

Jianxin Wang, Jin Wang, Yi Li [...]

Advances in Structural Engineering

Open access

Research article

First published 2022-9

Efficient attention-based deep encoder and decoder for automatic crack segmentation

Dong H Kang, Young-Jin Cha

Structural Health Monitoring

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Research article

First published 2023-9

A lightweight deep learning network based on knowledge distillation for applications of efficient crack segmentation on embedded devices

Jun Chen, Ye Liu, Jia-ao Hou

Structural Health Monitoring

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