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Underwater Robot Solution for Automatic Detection and Measurement of Expansion Joints in Dam Stilling Basin

https://doi.org/10.2139/ssrn.4646978
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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U-Net: Convolutional Networks for Biomedical Image Segmentation
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Detecting large-scale underwater cracks based on remote operated vehicle and graph convolutional neural network
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A Brief Review and a New Graph-Based Image Analysis for Concrete Crack Quantification
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Image-based retrieval of concrete crack properties for bridge inspection
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Comparison of crack segmentation using digital image correlation measurements and deep learning
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Novel visual crack width measurement based on backbone double-scale features for improved detection automation
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A deep residual neural network framework with transfer learning for concrete dams patch-level crack classification and weakly-supervised localization
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High sensitivity rotating alternating current field measurement for arbitrary-angle underwater cracks
inferredcites →https://doi.org/10.1016/j.neucom.2022.07.036openalex-extracted
An underwater dam crack image segmentation method based on multi-level adversarial transfer learning
inferredcites →https://doi.org/10.1016/j.oceaneng.2023.113909openalex-extracted
Research on the identification and distribution of biofouling using underwater cleaning robot based on deep learning
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A novel hybrid approach for crack detection
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Histogram‐Based Approach for Automated Pavement‐Crack Sensing
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Crack width identification for underwater concrete structures using temperature tracer method
inferredcites →https://doi.org/10.1109/48.50695openalex-extracted
Computer modeling and the design of optimal underwater imaging systems
inferredcites →https://doi.org/10.1109/access.2019.2956191openalex-extracted
Automatic Pavement Crack Detection and Classification Using Multiscale Feature Attention Network
inferredcites →https://doi.org/10.1109/cvpr.2009.5206515openalex-extracted
Single image haze removal using dark channel prior
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-extracted
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2017.660openalex-extracted
Pyramid Scene Parsing Network
inferredcites →https://doi.org/10.1109/icassp43922.2022.9747758openalex-extracted
Underwater Image Enhancement Via Learning Water Type Desensitized Representations
inferredcites →https://doi.org/10.1109/iccv.1998.710772openalex-extracted
A general framework for object detection
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Enhancing the low quality images using Unsupervised Colour Correction Method
inferredcites →https://doi.org/10.1109/joe.2015.2469915openalex-extracted
Human-Visual-System-Inspired Underwater Image Quality Measures
inferredcites →https://doi.org/10.1109/joe.2019.2911447openalex-extracted
Underwater Image Enhancement Using a Multiscale Dense Generative Adversarial Network
inferredcites →https://doi.org/10.1109/tip.2017.2759252openalex-extracted
Color Balance and Fusion for Underwater Image Enhancement
inferredcites →https://doi.org/10.1109/tpami.2016.2644615openalex-extracted
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
inferredcites →https://doi.org/10.1109/wacv.2018.00163openalex-extracted
Understanding Convolution for Semantic Segmentation
inferredcites →https://doi.org/10.1155/2021/5298882openalex-extracted
A Modified Fully Convolutional Network for Crack Damage Identification Compared with Conventional Methods
inferredcites →https://doi.org/10.1177/1475921716651039openalex-extracted
A detection and classification approach for underwater dam cracks
inferredcites →https://doi.org/10.3390/app13063564openalex-extracted
A Review of Detection Technologies for Underwater Cracks on Concrete Dam Surfaces
inferredcites →https://doi.org/10.3390/s19081843openalex-extracted
Concrete Crack Detection and Monitoring Using a Capacitive Dense Sensor Array
inferredcites →https://doi.org/10.3390/s19194251openalex-extracted
Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder–Decoder Network
inferredcites →https://doi.org/10.3390/s20072069openalex-extracted
Automatic Pixel-Level Crack Detection on Dam Surface Using Deep Convolutional Network
inferredcites →https://doi.org/10.48550/arxiv.1411.4038openalex-extracted
Fully Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1802.02611openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1807.04169openalex-extracted
Underwater Image Haze Removal and Color Correction with an Underwater-ready Dark Channel Prior
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