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 3140 of 82 papers

TitleStatusHype
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models0
Dual Local-Global Contextual Pathways for Recognition in Aerial Imagery0
BiFNet: Bidirectional Fusion Network for Road Segmentation0
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation0
Distantly Supervised Road Segmentation0
A Joint 3D-2D based Method for Free Space Detection on Roads0
PaRK-Detect: Towards Efficient Multi-Task Satellite Imagery Road Extraction via Patch-Wise Keypoints Detection0
Multi-Feature View-Based Shallow Convolutional Neural Network for Road Segmentation0
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection0
Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads0
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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