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 4150 of 82 papers

TitleStatusHype
Visual Traffic Knowledge Graph Generation from Scene Images0
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 Projection0
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 Processing0
Unstructured Road Segmentation using Hypercolumn based Random Forests of Local expertsCode0
Solving Learn-to-Race Autonomous Racing Challenge by Planning in Latent Space0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models0
Improving Road Segmentation in Challenging Domains Using Similar Place Priors0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation0
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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