SOTAVerified

Road Damage Detection

Road damage detection is the task of detecting damage in roads.

( Image credit: Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN )

Papers

Showing 125 of 27 papers

TitleStatusHype
RDD2022: A multi-national image dataset for automatic Road Damage DetectionCode2
Deep Learning Frameworks for Pavement Distress Classification: A Comparative AnalysisCode1
Road Damage Detection Using Deep Neural Networks with Images Captured Through a SmartphoneCode1
An Efficient and Scalable Deep Learning Approach for Road Damage DetectionCode1
InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles SegmentationCode1
Transfer Learning-based Road Damage Detection for Multiple CountriesCode1
CNN Model & Tuning for Global Road Damage DetectionCode1
Computer-Aided Road Inspection: Systems and AlgorithmsCode1
Road Damage Detection and Classification with Detectron2 and Faster R-CNNCode1
Road Damage Detection using Deep Ensemble LearningCode1
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNNCode0
FasterRCNN Monitoring of Road Damages: Competition and DeploymentCode0
Road Damage Detection Based on Unsupervised Disparity Map SegmentationCode0
Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an exampleCode0
RDD4D: 4D Attention-Guided Road Damage Detection And ClassificationCode0
Optimizing YOLO Architectures for Optimal Road Damage Detection and Classification: A Comparative Study from YOLOv7 to YOLOv100
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage0
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)0
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection0
DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection0
Global Road Damage Detection: State-of-the-art Solutions0
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection0
A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management0
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management0
Road Damages Detection and Classification with YOLOv70
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InconSegmIoU83.88Unverified