A deep residual neural network framework with transfer learning for concrete dams patch-level crack classification and weakly-supervised localization

Author:

Li Yangtao,Bao Tengfei,Xu Bo,Shu Xiaosong,Zhou Yuhang,Du Ye,Wang Ruijie,Zhang Kang

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference39 articles.

1. GOODD, a global dataset of more than 38,000 georeferenced dams;Mulligan;Sci. Data,2020

2. A Hybrid Model Integrating Principal Component Analysis, Fuzzy C-Means, and Gaussian Process Regression for Dam Deformation Prediction;Li;Arabian J. Sci. Eng.,2021

3. Remote Sensing for Monitoring Embankments, Dams, and Slopes;Stark;Am. Soc. Civ. Eng.,2021

4. Deformation early-warning index for heightened gravity dam during impoundment period;Chen;Water Sci. Eng.,2021

5. Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review;Feng;Eng. Struct.,2017

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