TY  - BOOK
AU  - Zhang,Kaige
AU  - Cheng,Heng-Da
TI  - Deep learning for crack-like object detection
T2  - CRC focus
SN  - 9781003252948
AV  - TE278 
U1  - 625.8/40285 23/eng/20230316
PY  - 2023///
CY  - Boca Raton
PB  - CRC Press, Taylor & Francis Grooup
KW  - COMPUTERS / Machine Theory
KW  - bisacsh
KW  - COMPUTERS / Computer Engineering
KW  - SCIENCE / Life Sciences / General
KW  - Pavements, Concrete
KW  - Testing
KW  - Data processing
KW  - Concrete
KW  - Cracking
KW  - Deep learning (Machine learning)
N1  - "A Science Publishers book."; 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
N2  - "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 detection, and finished a practical smart pavement surface inspection system. By introducing those method and the system, this book gives the reader an easy way to get into the computer vision and deep learning research area. In addition, this research performs a preliminary study about the future AI system, which provides a concept that has potential to realize fully automatic crack detection without human's intervention"--
UR  - https://www.taylorfrancis.com/books/9781003252948
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -