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 21–30 of 82 papers

TitleStatusHype
Lidar Annotation Is All You NeedCode1
High-Resolution Building and Road Detection from Sentinel-2—0
Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery—0
DeepCompass: AI-driven Location-Orientation Synchronization for Navigating Platforms—0
Multi-Modal Multi-Task (3MT) Road SegmentationCode1
R2S100K: Road-Region Segmentation Dataset For Semi-Supervised Autonomous Driving in the Wild—0
Building and Road Segmentation Using EffUNet and Transfer Learning Approach—0
Polarimetric Imaging for Perception—0
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection—0
Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads—0
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Benchmark Results

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