Line Segment Detection
20 papers with code • 2 benchmarks • 6 datasets
Benchmarks
These leaderboards are used to track progress in Line Segment Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Wireframe
KAIST Urban
York Urban Line Segment Database
WaterScenes
BN-HTRd
ICDAR 2021
Most implemented papers
Fast 3D Line Segment Detection From Unorganized Point Cloud
This paper presents a very simple but efficient algorithm for 3D line segment detection from large scale unorganized point cloud.
TP-LSD: Tri-Points Based Line Segment Detector
MegviiRobot/TP-LSD
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ECCV 2020
To realize one-step detection with a faster and more compact model, we introduce the tri-points representation, converting the line segment detection to the end-to-end prediction of a root-point and two endpoints for each line segment.
ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras
Targeting at the unified line segment detection (ULSD) for both distorted and undistorted images, we propose to represent line segments with the Bezier curve model.
Line Segment Detection Using Transformers without Edges
In this paper, we present a joint end-to-end line segment detection algorithm using Transformers that is post-processing and heuristics-guided intermediate processing (edge/junction/region detection) free.
Fully Convolutional Line Parsing
We conduct extensive experiments and show that our method achieves a significantly better trade-off between efficiency and accuracy, resulting in a real-time line detector at up to 73 FPS on a single GPU.
Towards Light-weight and Real-time Line Segment Detection
navervision/mlsd
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In this paper, we propose a real-time and light-weight line segment detector for resource-constrained environments named Mobile LSD (M-LSD).
Learning Attraction Field Representation for Robust Line Segment Detection
cherubicXN/afm_cvpr2019
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CVPR 2019
In experiments, our method is tested on the WireFrame dataset and the YorkUrban dataset with state-of-the-art performance obtained.
End-to-End Wireframe Parsing
zhou13/lcnn
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ICCV 2019
We conduct extensive experiments and show that our method significantly outperforms the previous state-of-the-art wireframe and line extraction algorithms.
PPGNet: Learning Point-Pair Graph for Line Segment Detection
In this paper, we present a novel framework to detect line segments in man-made environments.
Sem-LSD: A Learning-based Semantic Line Segment Detector
Combined with high-level semantics, Sem-LS is more robust under cluttered environment compared with existing line-shaped representations.
