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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 82 papers

TitleStatusHype
UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised—0
Brightearth roads: Towards fully automatic road network extraction from satellite imagery—0
MMCert: Provable Defense against Adversarial Attacks to Multi-modal ModelsCode0
Knowledge Distillation for Road Detection based on cross-model Semi-Supervised Learning—0
AI Powered Road Network Prediction with Multi-Modal DataCode0
Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and SegmentationCode0
Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites—0
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
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
Visual Traffic Knowledge Graph Generation from Scene Images—0
Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSDCode0
Monocular BEV Perception of Road Scenes via Front-to-Top View Projection—0
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise BinarizationCode0
Deep Learning Computer Vision Algorithms for Real-time UAVs On-board Camera Image Processing—0
Unstructured Road Segmentation using Hypercolumn based Random Forests of Local expertsCode0
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space—0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models—0
Improving Road Segmentation in Challenging Domains Using Similar Place Priors—0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation—0
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All datasetsChesapeakeRSCDeepGlobeMassachusetts Roads Dataset

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