A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification
Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification
Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification
Li, Duanshun (author) / Cong, Anran (author) / Guo, Shuai (author)
Automation in construction ; 101 ; 199-208
2019-01-01
10 pages
Article (Journal)
English
DDC:
629.8
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
Damage estimation of sewer pipe using subtitles of CCTV inspection video [10170-117]
British Library Conference Proceedings | 2017
Crack Automatic Detection of CCTV Video of Sewer Inspection with Low Resolution
| Online Contents | 2019
Crack Automatic Detection of CCTV Video of Sewer Inspection with Low Resolution
| Springer Verlag | 2019
Sewer inspection and comparison of acoustic and CCTV methods
| Online Contents | 2013
| British Library Online Contents | 2018