Classification of sewer pipe defects based on an automatically designed convolutional neural network
Y Wang, J Fan, Y Sun - Expert Systems with Applications, 2025 - Elsevier
Accurate classification of sewer pipe defects allows for timely prevention of system failures,
preventing environmental pollution caused by sewage leakage, thereby safeguarding public …
preventing environmental pollution caused by sewage leakage, thereby safeguarding public …
Semi‐supervised pipe video temporal defect interval localization
In sewer pipe closed‐circuit television inspection, accurate temporal defect localization is
essential for effective pipe assessment. Industry standards typically do not require time …
essential for effective pipe assessment. Industry standards typically do not require time …
Sewer Image Super-Resolution with Depth Priors and Its Lightweight Network
The Quick-view (QV) technique serves as a primary method for detecting defects within
sewerage systems. However, the effectiveness of QV is impeded by the limited visual range …
sewerage systems. However, the effectiveness of QV is impeded by the limited visual range …
An automatic defect detection and localization method using imaging geometric features for sewer pipes
J He, Z Wang, Z Yong, C Yang, T Li - Measurement, 2025 - Elsevier
Accurate longitudinal localization of defects in sewer pipes is crucial for efficient
maintenance and renewal. However, traditional closed-circuit television (CCTV)-based …
maintenance and renewal. However, traditional closed-circuit television (CCTV)-based …
Imbalance-Aware Culvert-Sewer Defect Segmentation Using an Enhanced Feature Pyramid Network
Imbalanced datasets are a significant challenge in real-world scenarios. They lead to
models that underperform on underrepresented classes, which is a critical issue in …
models that underperform on underrepresented classes, which is a critical issue in …