Line Segment Detection

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

25 shown of 25 papers with code (37 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Fast 3D Line Segment Detection From Unorganized Point Cloud
  8 Jan 2019 3 repositories listed
  This paper presents a very simple but efficient algorithm for 3D line segment detection from large scale unorganized point cloud.
• Towards Light-weight and Real-time Line Segment Detection
  1 Jun 2021 2 repositories listed
  In this paper, we propose a real-time and light-weight line segment detector for resource-constrained environments named Mobile LSD (M-LSD).
• Fully Convolutional Line Parsing
  22 Apr 2021 2 repositories listed Syntology ran 2 of 19 samples · 17 unverified
  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.
• Line Segment Detection Using Transformers without Edges
  6 Jan 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  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.
• ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras
  6 Nov 2020 2 repositories listed
  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.
• TP-LSD: Tri-Points Based Line Segment Detector
  11 Sep 2020 2 repositories listed
  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…
• ScaleLSD: Scalable Deep Line Segment Detection Streamlined
  11 Jun 2025 1 repository listed
  This paper studies the problem of Line Segment Detection (LSD) for the characterization of line geometry in images, with the aim of learning a domain-agnostic robust LSD model that works well for any natural images.
• LINEA: Fast and Accurate Line Detection Using Scalable Transformers
  22 May 2025 1 repository listed
  This paper develops a new transformer-based method that is significantly faster without requiring pretraining the attention mechanism on large datasets.
• DT-LSD: Deformable Transformer-based Line Segment Detection
  20 Nov 2024 1 repository listed
  Line segment detection is a fundamental low-level task in computer vision, and improvements in this task can impact more advanced methods that depend on it.
• The Impact of Semi-Supervised Learning on Line Segment Detection
  7 Nov 2024 1 repository listed
  In this paper we present a method for line segment detection in images, based on a semi-supervised framework.
• Level-line Guided Edge Drawing for Robust Line Segment Detection
  10 May 2023 1 repository listed
  Line segment detection plays a cornerstone role in computer vision tasks.
• A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges
  29 Apr 2023 1 repository listed
  Finally, this study provides insights for potentially interesting future research directions to attract more attention from researchers to this field.
• DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients
  15 Dec 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Their learned counterparts are more repeatable and can handle challenging images, but at the cost of a lower accuracy and a bias towards wireframe lines.
• Detecting Line Segments in Motion-blurred Images with Events
  14 Nov 2022 1 repository listed
  To robustly detect line segments over motion blurs, we propose to leverage the complementary information of images and events.
• LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection
  10 Sep 2022 1 repository listed
  We point out systematic inconsistencies in the annotations of popular line detection benchmarks - Wireframe and York Urban, carefully reannotate a subset of images and show that (i) existing detectors have improved…
• Semantic Room Wireframe Detection from a Single View
  1 Jun 2022 1 repository listed
  Reconstruction of indoor surfaces with limited texture information or with repeated textures, a situation common in walls and ceilings, may be difficult with a monocular Structure from Motion system.
• ELSED: Enhanced Line SEgment Drawing
  6 Aug 2021 1 repository listed
  Detecting local features, such as corners, segments or blobs, is the first step in the pipeline of many Computer Vision applications.
• ICDAR 2021 Competition on Historical Map Segmentation
  27 May 2021 1 repository listed
  Task~2 consists in segmenting map content from the larger map sheet, and was won by the UWB team using a U-Net-like FCN combined with a binarization method to increase detection edge accuracy.
• Deep Hough-Transform Line Priors
  18 Jul 2020 1 repository listed
  Here, we reduce the dependency on labeled data by building on the classic knowledge-based priors while using deep networks to learn features.
• Learning to Parse Wireframes in Images of Man-Made Environments
  15 Jul 2020 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  To this end, we have built a very large new dataset of over 5, 000 images with wireframes thoroughly labelled by humans.
• Holistically-Attracted Wireframe Parsing
  3 Mar 2020 1 repository listed
  For computing line segment proposals, a novel exact dual representation is proposed which exploits a parsimonious geometric reparameterization for line segments and forms a holistic 4-dimensional attraction field map…
• Sem-LSD: A Learning-based Semantic Line Segment Detector
  14 Sep 2019 1 repository listed
  Combined with high-level semantics, Sem-LS is more robust under cluttered environment compared with existing line-shaped representations.
• PPGNet: Learning Point-Pair Graph for Line Segment Detection
  9 May 2019 1 repository listed
  In this paper, we present a novel framework to detect line segments in man-made environments.
• End-to-End Wireframe Parsing
  8 May 2019 1 repository listed Syntology ran 1 of 14 samples · 13 unverified
  We conduct extensive experiments and show that our method significantly outperforms the previous state-of-the-art wireframe and line extraction algorithms.
• Learning Attraction Field Representation for Robust Line Segment Detection
  5 Dec 2018 1 repository listed
  In experiments, our method is tested on the WireFrame dataset and the YorkUrban dataset with state-of-the-art performance obtained.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.