Liu, L.; Shen, B.; Huang, S.; Liu, R.; Liao, W.; Wang, B.; Diao, S.
Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures. Buildings 2025, 15, 258.
https://doi.org/10.3390/buildings15020258
AMA Style
Liu L, Shen B, Huang S, Liu R, Liao W, Wang B, Diao S.
Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures. Buildings. 2025; 15(2):258.
https://doi.org/10.3390/buildings15020258
Chicago/Turabian Style
Liu, Liqu, Bo Shen, Shuchen Huang, Runlin Liu, Weizhang Liao, Bin Wang, and Shuo Diao.
2025. "Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures" Buildings 15, no. 2: 258.
https://doi.org/10.3390/buildings15020258
APA Style
Liu, L., Shen, B., Huang, S., Liu, R., Liao, W., Wang, B., & Diao, S.
(2025). Binocular Video-Based Automatic Pixel-Level Crack Detection and Quantification Using Deep Convolutional Neural Networks for Concrete Structures. Buildings, 15(2), 258.
https://doi.org/10.3390/buildings15020258
