SOTAVerified

Road Segmentation

Road Segmentation is a pixel wise binary classification in order to extract underlying road network. Various Heuristic and data driven models are proposed. Continuity and robustness still remains one of the major challenges in the area.

Papers

Showing 3140 of 82 papers

TitleStatusHype
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and SegmentationCode0
Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites0
High-Resolution Building and Road Detection from Sentinel-20
Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery0
DeepCompass: AI-driven Location-Orientation Synchronization for Navigating Platforms0
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild0
Building and Road Segmentation Using EffUNet and Transfer Learning Approach0
Polarimetric Imaging for Perception0
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection0
Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1U-Net (ResNet-18)DWR46.5Unverified
2DeepLabV3+ (ResNet-18)DWR46.1Unverified
3U-Net (ResNet-50)DWR45.7Unverified
4FCNDWR10.7Unverified
#ModelMetricClaimedVerifiedStatus
1CoANet + PRNmIoU70.6Unverified
2SPIN Road Mapper (ours)APLS0.74Unverified
3D-LinkNetIoU0.64Unverified
#ModelMetricClaimedVerifiedStatus
1RSM-SSIoU67.35Unverified
2SPIN Road Mapper (ours)IoU65.24Unverified