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 2130 of 82 papers

TitleStatusHype
RoadTracer: Automatic Extraction of Road Networks from Aerial ImagesCode0
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and SegmentationCode0
RoadNet-RT: High Throughput CNN Architecture and SoC Design for Real-Time Road SegmentationCode0
Road Segmentation Using CNN and Distributed LSTMCode0
Spatial Information Inference Net: Road Extraction Using Road-Specific Contextual InformationCode0
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road ExtractionCode0
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local OperationsCode0
Pathfinder for Low-altitude Aircraft with Binary Neural NetworkCode0
Deep Quaternion NetworksCode0
AI Powered Road Network Prediction with Multi-Modal DataCode0
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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