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 6170 of 82 papers

TitleStatusHype
Spatial Information Inference Net: Road Extraction Using Road-Specific Contextual InformationCode0
NL-LinkNet: Toward Lighter but More Accurate Road Extraction with Non-Local OperationsCode0
Recurrent U-Net for Resource-Constrained Segmentation0
Road Segmentation with Image-LiDAR Data Fusion0
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road ExtractionCode0
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation0
Road Segmentation Using CNN and Distributed LSTMCode0
A Novel Disparity Transformation Algorithm for Road Segmentation0
Semantic Binary Segmentation using Convolutional Networks without DecodersCode0
Road Segmentation Using CNN with GRU0
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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