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 1–10 of 27 papers

TitleStatusHype
TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection—0
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
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 Detection—0
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection—0
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection—0
InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles SegmentationCode1
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)—0
Road Damages Detection and Classification with YOLOv7—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InconSegmIoU83.88—Unverified