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Vector Attention-Based Point Cloud Network for Semantic Segmentation Based on Sewer Sonar Point Clouds

https://doi.org/10.2139/ssrn.5342022

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Acoustic and ultrasonic techniques for defect detection and condition monitoring in water and sewerage pipes: A review

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Automated defect detection for sewer pipeline inspection and condition assessment

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Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

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Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

inferredcites →https://doi.org/10.1016/j.autcon.2019.01.017openalex-snapshot

Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification

inferredcites →https://doi.org/10.1016/j.autcon.2019.103061openalex-snapshot

A Survey on Image-Based Automation of CCTV and SSET Sewer Inspections

inferredcites →https://doi.org/10.1016/j.autcon.2020.103383openalex-snapshot

Automatic sewer pipe defect semantic segmentation based on improved U-Net

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Sewer pipe defect detection via deep learning with local and global feature fusion

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Automated semantic segmentation of industrial point clouds using ResPointNet++

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Automatic detection of sewer defects based on improved you only look once algorithm

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Sewer defect detection from 3D point clouds using a transformer-based deep learning model

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Anomaly detection in urban drainage with stereovision

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Whale optimization algorithm-based point cloud data processing method for sewer pipeline inspection

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Attention-enhanced sampling point cloud network (ASPCNet) for efficient 3D tunnel semantic segmentation

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Dynamic graph CNN based semantic segmentation of concrete defects and as-inspected modeling

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DefectTR: End-to-end defect detection for sewage networks using a transformer

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A novel deep learning ensemble model based on two-stage feature selection and intelligent optimization for water quality prediction

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Operational stability control of a buried pipeline maintenance robot using an improved PSO-PID controller

inferredcites →https://doi.org/10.1016/j.tust.2023.105480openalex-snapshot

An automatic defect classification and segmentation method on three-dimensional point clouds for sewer pipes

inferredcites →https://doi.org/10.1016/j.watres.2017.01.050openalex-snapshot

Acoustic measurement and morphological features of organic sediment deposits in combined sewer networks

inferredcites →https://doi.org/10.1016/j.watres.2023.119588openalex-snapshot

A bilevel data-driven method for sewer deposit prediction under uncertainty

inferredcites →https://doi.org/10.1061/(asce)wr.1943-5452.0001394openalex-snapshot

Convolutional Neural Networks–Based Model for Automated Sewer Defects Detection and Classification

inferredcites →https://doi.org/10.1080/1573062x.2017.1325497openalex-snapshot

The relevance of sewer deterioration modelling to support asset management strategies

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SEGCloud: Semantic Segmentation of 3D Point Clouds

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The farthest point strategy for progressive image sampling

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A Review of Deep Learning-Based Semantic Segmentation for Point Cloud

inferredcites →https://doi.org/10.1109/cvpr.2017.16openalex-snapshot

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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Exploring Self-Attention for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01297openalex-snapshot

Adaptive Hierarchical Down-Sampling for Point Cloud Classification

inferredcites →https://doi.org/10.1109/cvpr52729.2023.00516openalex-snapshot

Attention-Based Point Cloud Edge Sampling

inferredcites →https://doi.org/10.1109/iccv.2019.00651openalex-snapshot

KPConv: Flexible and Deformable Convolution for Point Clouds

inferredcites →https://doi.org/10.1109/iccv.2019.00859openalex-snapshot

VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation

inferredcites →https://doi.org/10.1109/iccv48922.2021.01595openalex-snapshot

Point Transformer

inferredcites →https://doi.org/10.1109/icra.2018.8462926openalex-snapshot

SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud

inferredcites →https://doi.org/10.1109/iros.2015.7353481openalex-snapshot

VoxNet: A 3D Convolutional Neural Network for real-time object recognition

inferredcites →https://doi.org/10.1109/iros40897.2019.8967762openalex-snapshot

RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation

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A Reverberation Noise Suppression Method of Sonar Image Based on Shearlet Transform

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Dynamic Graph CNN for Learning on Point Clouds

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Fast Marching farthest point sampling

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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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