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
InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles SegmentationCode1
Computer-Aided Road Inspection: Systems and AlgorithmsCode1
CNN Model & Tuning for Global Road Damage DetectionCode1
An Efficient and Scalable Deep Learning Approach for Road Damage DetectionCode1
Road Damage Detection using Deep Ensemble LearningCode1
Road Damage Detection and Classification with Detectron2 and Faster R-CNNCode1
Deep Learning Frameworks for Pavement Distress Classification: A Comparative AnalysisCode1
Transfer Learning-based Road Damage Detection for Multiple CountriesCode1
Road Damage Detection Using Deep Neural Networks with Images Captured Through a SmartphoneCode1
TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection0
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
Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an exampleCode0
DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection0
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection0
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection0
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)0
Road Damages Detection and Classification with YOLOv70
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage0
Road Rutting Detection using Deep Learning on Images0
A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management0
Global Road Damage Detection: State-of-the-art Solutions0
FasterRCNN Monitoring of Road Damages: Competition and DeploymentCode0
Road Damage Detection Based on Unsupervised Disparity Map SegmentationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InconSegmIoU83.88Unverified