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Road Damage Detection
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Road damage detection is the task of detecting damage in roads.
<span style="color:grey; opacity: 0.6">( Image credit: Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
RDD4D: 4D Attention-Guided Road Damage Detection And Classification
Optimizing YOLO Architectures for Optimal Road Damage Detection and Classification: A Comparative Study from YOLOv7 to YOLOv10
Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an example
DAPONet: A Dual Attention and Partially Overparameterized Network for Real-Time Road Damage Detection
Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection
InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles Segmentation
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022)
Road Damages Detection and Classification with YOLOv7
AI-Driven Road Maintenance Inspection v2: Reducing Data Dependency & Quantifying Road Damage
Road Rutting Detection using Deep Learning on Images
RDD2022: A multi-national image dataset for automatic Road Damage Detection
Computer-Aided Road Inspection: Systems and Algorithms
A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management
CNN Model & Tuning for Global Road Damage Detection
An Efficient and Scalable Deep Learning Approach for Road Damage Detection
Global Road Damage Detection: State-of-the-art Solutions
Road Damage Detection using Deep Ensemble Learning
Road Damage Detection and Classification with Detectron2 and Faster R-CNN
FasterRCNN Monitoring of Road Damages: Competition and Deployment
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
Transfer Learning-based Road Damage Detection for Multiple Countries
Road Damage Detection Based on Unsupervised Disparity Map Segmentation
Road Damage Detection Acquisition System based on Deep Neural Networks for Physical Asset Management
Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
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