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 1120 of 82 papers

TitleStatusHype
Exploiting Low-level Representations for Ultra-Fast Road SegmentationCode1
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View TransformationCode1
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
MultiNet: Real-time Joint Semantic Reasoning for Autonomous DrivingCode1
SS-SFDA : Self-Supervised Source-Free Domain Adaptation for Road Segmentation in Hazardous EnvironmentsCode1
Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid NetworksCode1
SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous DrivingCode1
Pathfinder for Low-altitude Aircraft with Binary Neural NetworkCode0
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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