Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges
出版年份 2022 全文链接
标题
Multistage semisupervised active learning framework for crack identification, segmentation, and measurement of bridges
作者
关键词
-
出版物
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume 37, Issue 9, Pages 1089-1108
出版商
Wiley
发表日期
2022-06-06
DOI
10.1111/mice.12851
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Pixel‐level multicategory detection of visible seismic damage of reinforced concrete components
- (2021) Zenghui Miao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Pixel-level bridge crack detection using a deep fusion about recurrent residual convolution and context encoder network
- (2021) Gang Li et al. MEASUREMENT
- Semi-supervised semantic segmentation network for surface crack detection
- (2021) Wenjun Wang et al. AUTOMATION IN CONSTRUCTION
- Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices
- (2021) Mateusz Żarski et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Crack detection using fusion features‐based broad learning system and image processing
- (2021) Yang Zhang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime
- (2021) Yuqing Gao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Automated pavement crack detection and segmentation based on two‐step convolutional neural network
- (2020) Jingwei Liu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- PEER Hub ImageNet: A Large-Scale Multiattribute Benchmark Data Set of Structural Images
- (2020) Yuqing Gao et al. JOURNAL OF STRUCTURAL ENGINEERING
- Automated crack assessment and quantitative growth monitoring
- (2020) Si‐Yu Kong et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- FEMa: a finite element machine for fast learning
- (2019) Danilo R. Pereira et al. NEURAL COMPUTING & APPLICATIONS
- Encoder-decoder network for pixel-level road crack detection in black-box images
- (2019) Seongdeok Bang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A dynamic ensemble learning algorithm for neural networks
- (2019) Kazi Md. Rokibul Alam et al. NEURAL COMPUTING & APPLICATIONS
- Surface defect classification of steels with a new semi-supervised learning method
- (2019) He Di et al. OPTICS AND LASERS IN ENGINEERING
- Computer vision-based concrete crack detection using U-net fully convolutional networks
- (2019) Zhenqing Liu et al. AUTOMATION IN CONSTRUCTION
- Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network
- (2019) Ju Huyan et al. AUTOMATION IN CONSTRUCTION
- Deep Transfer Learning for Image-Based Structural Damage Recognition
- (2018) Yuqing Gao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Enhanced probabilistic neural network with local decision circles: A robust classifier
- (2018) Mehran Ahmadlou et al. INTEGRATED COMPUTER-AIDED ENGINEERING
- Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization
- (2018) Xiao Liang COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Zernike‐moment measurement of thin‐crack width in images enabled by dual‐scale deep learning
- (2018) FuTao Ni et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Autonomous concrete crack detection using deep fully convolutional neural network
- (2018) Cao Vu Dung et al. AUTOMATION IN CONSTRUCTION
- A New Neural Dynamic Classification Algorithm
- (2017) Mohammad Hossein Rafiei et al. IEEE Transactions on Neural Networks and Learning Systems
- An improved image processing method for assessing multiple cracking development in Strain Hardening Cementitious Composites (SHCC)
- (2016) Cong Lu et al. CEMENT & CONCRETE COMPOSITES
- New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform
- (2016) Carlos A. Perez-Ramirez et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A new methodology for non-contact accurate crack width measurement through photogrammetry for automated structural safety evaluation
- (2013) Mohammad R Jahanshahi et al. Smart Materials and Structures
- FoSA: F* Seed-growing Approach for crack-line detection from pavement images
- (2011) Qingquan Li et al. IMAGE AND VISION COMPUTING
- An innovative methodology for detection and quantification of cracks through incorporation of depth perception
- (2011) Mohammad R. Jahanshahi et al. MACHINE VISION AND APPLICATIONS
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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