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A Pavement Distress Detection And Severity Analysis

https://doi.org/10.2139/ssrn.4982476
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/s42421-022-00061-8openalex-snapshot
Mobile Sensing for Multipurpose Applications in Transportation
inferredcites →https://doi.org/10.1016/j.conbuildmat.2017.09.110openalex-snapshot
Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection
inferredcites →https://doi.org/10.1061/(asce)0733-947x(1992)118:5(700)openalex-snapshot
Histogram‐Based Approach for Automated Pavement‐Crack Sensing
inferredcites →https://doi.org/10.1061/(asce)0733-947x(1993)119:3(402)openalex-snapshot
Primitive‐Based Classification of Pavement Cracking Images
inferredcites →https://doi.org/10.1061/(asce)0733-947x(1993)119:6(868)openalex-snapshot
Analysis of Segmentation Algorithms for Pavement Distress Images
inferredcites →https://doi.org/10.1061/40632(245)59openalex-snapshot
Real-Time Automated Survey of Pavement Surface Distress
inferredcites →https://doi.org/10.1061/jtepbs.teeng-7312openalex-snapshot
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
inferredcites →https://doi.org/10.1080/14680629.2024.2374863openalex-snapshot
PaveSAM – segment anything for pavement distress
inferredcites →https://doi.org/10.1109/34.761261openalex-snapshot
Filtering for texture classification: a comparative study
inferredcites →https://doi.org/10.1109/bigdata50022.2020.9378047openalex-snapshot
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot
Aggregated Residual Transformations for Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00564openalex-snapshot
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00565openalex-snapshot
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos
inferredcites →https://doi.org/10.1109/tpami.1986.4767851openalex-snapshot
A Computational Approach to Edge Detection
inferredcites →https://doi.org/10.1109/wacv57701.2024.00219openalex-snapshot
GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification
inferredcites →https://doi.org/10.1117/1.2172917openalex-snapshot
Wavelet-based pavement distress detection and evaluation
inferredcites →https://doi.org/10.1142/s2424922x20500072openalex-snapshot
Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding
inferredcites →https://doi.org/10.1177/10711813241275942openalex-snapshot
All You Need is Data: A Multimodal Approach in Understanding Driver Behavior
inferredcites →https://doi.org/10.1177/21695067231192576openalex-snapshot
Classification of Human Driver Distraction Using 3D Convolutional Neural Networks
inferredcites →https://doi.org/10.1201/9780203882191.ch87openalex-snapshot
Crack detection and classification in asphalt pavement using image processing
inferredcites →https://doi.org/10.3390/data3030028openalex-snapshot
Deep Learning in Data-Driven Pavement Image Analysis and Automated Distress Detection: A Review
inferredcites →https://doi.org/10.48550/arxiv.1905.11946openalex-snapshot
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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