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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 27 papers

TitleStatusHype
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 YOLOv10—0
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage—0
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)—0
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection—0
DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InconSegmIoU83.88—Unverified