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Deep learning for crack-like object detection /

"With the development of artificial intelligence (AI), the deep learning technique has achieved great success. However, using deep learning for high accurate crack localization is non-trivial. Based on deep learning, this book has solved a bunch of important issues existing in crack-like object...

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Bibliographic Details
Main Authors: Zhang, Kaige, 1987- (Author), Cheng, Heng-Da (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : CRC Press, Taylor & Francis Grooup, 2023.
Edition:First edition.
Series:CRC focus
Subjects:
Pavements, Concrete > Testing > Data processing.
Concrete > Cracking.
Deep learning (Machine learning)
Revêtements en béton > Essais > Informatique.
Béton > Fissuration.
Apprentissage profond.
COMPUTERS / Machine Theory
COMPUTERS / Computer Engineering
SCIENCE / Life Sciences / General
Concrete > Cracking
Pavements, Concrete > Testing > Data processing
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction. Crack Detection with Deep Classification Network. Crack Detection with Fully Convolutional Network. Crack Detection with Generative Adversarial Learning. Self-Supervised Structure Learning for Crack Detection. Deep Edge Computing. Conclusion and Discussion.