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 7180 of 82 papers

TitleStatusHype
Road Segmentation in SAR Satellite Images with Deep Fully-Convolutional Neural Networks0
Deep Quaternion NetworksCode0
Self-Supervised Relative Depth Learning for Urban Scene Understanding0
A Joint 3D-2D based Method for Free Space Detection on Roads0
Distantly Supervised Road Segmentation0
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields0
An Enhanced Deep Convolutional Encoder-Decoder Network for Road Segmentation on Aerial Imagery0
MultiNet: Real-time Joint Semantic Reasoning for Autonomous DrivingCode1
HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images0
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery0
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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