A High-accuracy Crack Defect Detection Based on Fully Convolutional Network Applied to Building Quality Inspection Robot

Wentao Zhang, Haoran Kang, Wenhui Wang, Yangtao Ge, Haiou Liao, Rui-Jun Yan, I-Ming Chen, Zhenzhong Jia, Jing Wu. A High-accuracy Crack Defect Detection Based on Fully Convolutional Network Applied to Building Quality Inspection Robot. In International Conference on Advanced Robotics and Mechatronics , ICARM 2022, Guilin, China, July 9-11, 2022. pages 63-68, IEEE, 2022. [doi]

@inproceedings{ZhangKWGLYCJW22,
  title = {A High-accuracy Crack Defect Detection Based on Fully Convolutional Network Applied to Building Quality Inspection Robot},
  author = {Wentao Zhang and Haoran Kang and Wenhui Wang and Yangtao Ge and Haiou Liao and Rui-Jun Yan and I-Ming Chen and Zhenzhong Jia and Jing Wu},
  year = {2022},
  doi = {10.1109/ICARM54641.2022.9959693},
  url = {https://doi.org/10.1109/ICARM54641.2022.9959693},
  researchr = {https://researchr.org/publication/ZhangKWGLYCJW22},
  cites = {0},
  citedby = {0},
  pages = {63-68},
  booktitle = {International Conference on Advanced Robotics and Mechatronics , ICARM 2022, Guilin, China, July 9-11, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8306-3},
}