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 110 of 82 papers

TitleStatusHype
RS-Mamba for Large Remote Sensing Image Dense PredictionCode3
Pix2Poly: A Sequence Prediction Method for End-to-end Polygonal Building Footprint Extraction from Remote Sensing ImageryCode2
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imageryCode2
Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic SegmentationCode2
PhilEO Bench: Evaluating Geo-Spatial Foundation ModelsCode2
Lidar Annotation Is All You NeedCode1
Fast Road Segmentation via Uncertainty-aware Symmetric NetworkCode1
PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style TranslationCode1
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based MethodsCode1
Multi-Modal Multi-Task (3MT) Road SegmentationCode1
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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