{"url":"/task/line-segment-detection","name":"Line Segment Detection","slug":"line-segment-detection","description_markdown":null,"categories":[{"name":"Computer Vision","url":"/area/computer-vision"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":37,"papers_with_code":25,"benchmarks":2,"benchmark_tables_in_archive":2,"benchmark_tables_shown":2,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":6,"subtasks":0,"parent_tasks":0},"benchmarks":[{"leaderboard":"/sota/line-segment-detection-on-york-urban-dataset","slug":"line-segment-detection-on-york-urban-dataset","dataset":"York Urban Dataset","dataset_url":"/dataset/york-urban-line-segment-database","rows_in_archive":16,"metrics":["sAP5","sAP10","sAP15","FH"],"first_row_in_archive_order":{"model":"LINEA-L","paper_title":"LINEA: Fast and Accurate Line Detection Using Scalable Transformers","paper_url":"/paper/linea-fast-and-accurate-line-detection-using","paper_date":"2025-05-22","arxiv_id":"2505.16264","code_links":[{"title":"SebastianJanampa/LINEA","url":"https://github.com/SebastianJanampa/LINEA"}],"syntology":null}},{"leaderboard":"/sota/line-segment-detection-on-wireframe-dataset","slug":"line-segment-detection-on-wireframe-dataset","dataset":"wireframe dataset","dataset_url":"/dataset/wireframe","rows_in_archive":10,"metrics":["sAP5","sAP10","sAP15","FH"],"first_row_in_archive_order":{"model":"ELSD","paper_title":"ELSD: Efficient Line Segment Detector and Descriptor","paper_url":"/paper/elsd-efficient-line-segment-detector-and","paper_date":"2021-04-29","arxiv_id":"2104.14205","code_links":[],"syntology":null}}],"datasets":[{"url":"/dataset/wireframe","name":"Wireframe","full_name":"","num_papers_in_archive":57},{"url":"/dataset/kaist-urban","name":"KAIST Urban","full_name":"","num_papers_in_archive":19},{"url":"/dataset/york-urban-line-segment-database","name":"York Urban Line Segment Database","full_name":"","num_papers_in_archive":17},{"url":"/dataset/waterscenes","name":"WaterScenes","full_name":"","num_papers_in_archive":13},{"url":"/dataset/bn-htrd","name":"BN-HTRd","full_name":"BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR)","num_papers_in_archive":2},{"url":"/dataset/icdar-2021-competition-on-historical-map","name":"ICDAR 2021","full_name":"","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":25,"of":25,"tagged_in_all":37,"items":[{"url":"/paper/fast-3d-line-segment-detection-from","title":"Fast 3D Line Segment Detection From Unorganized Point Cloud","date":"2019-01-08","arxiv_id":"1901.02532","repositories_listed":3,"syntology":null},{"url":"/paper/towards-real-time-and-light-weight-line","title":"Towards Light-weight and Real-time Line Segment Detection","date":"2021-06-01","arxiv_id":"2106.00186","repositories_listed":2,"syntology":null},{"url":"/paper/fully-convolutional-line-parsing","title":"Fully Convolutional Line Parsing","date":"2021-04-22","arxiv_id":"2104.11207","repositories_listed":2,"syntology":{"n":19,"n_ran":2,"n_unverified":17,"n_pointer_only":0}},{"url":"/paper/line-segment-detection-using-transformers","title":"Line Segment Detection Using Transformers without Edges","date":"2021-01-06","arxiv_id":"2101.01909","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_unverified":0,"n_pointer_only":0}},{"url":"/paper/ulsd-unified-line-segment-detection-across","title":"ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras","date":"2020-11-06","arxiv_id":"2011.03174","repositories_listed":2,"syntology":null},{"url":"/paper/tp-lsd-tri-points-based-line-segment-detector-1","title":"TP-LSD: Tri-Points Based Line Segment Detector","date":"2020-09-11","arxiv_id":"2009.05505","repositories_listed":2,"syntology":null},{"url":"/paper/scalelsd-scalable-deep-line-segment-detection-1","title":"ScaleLSD: Scalable Deep Line Segment Detection Streamlined","date":"2025-06-11","arxiv_id":"2506.09369","repositories_listed":1,"syntology":null},{"url":"/paper/linea-fast-and-accurate-line-detection-using","title":"LINEA: Fast and Accurate Line Detection Using Scalable Transformers","date":"2025-05-22","arxiv_id":"2505.16264","repositories_listed":1,"syntology":null},{"url":"/paper/dt-lsd-deformable-transformer-based-line","title":"DT-LSD: Deformable Transformer-based Line Segment Detection","date":"2024-11-20","arxiv_id":"2411.13005","repositories_listed":1,"syntology":null},{"url":"/paper/the-impact-of-semi-supervised-learning-on","title":"The Impact of Semi-Supervised Learning on Line Segment Detection","date":"2024-11-07","arxiv_id":"2411.04596","repositories_listed":1,"syntology":null},{"url":"/paper/level-line-guided-edge-drawing-for-robust","title":"Level-line Guided Edge Drawing for Robust Line Segment Detection","date":"2023-05-10","arxiv_id":"2305.05883","repositories_listed":1,"syntology":null},{"url":"/paper/a-comprehensive-review-of-image-line-segment","title":"A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges","date":"2023-04-29","arxiv_id":"2305.00264","repositories_listed":1,"syntology":null},{"url":"/paper/deeplsd-line-segment-detection-and-refinement","title":"DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients","date":"2022-12-15","arxiv_id":"2212.07766","repositories_listed":1,"syntology":{"n":1,"n_ran":0,"n_unverified":1,"n_pointer_only":0}},{"url":"/paper/detecting-line-segments-in-motion-blurred","title":"Detecting Line Segments in Motion-blurred Images with Events","date":"2022-11-14","arxiv_id":"2211.07365","repositories_listed":1,"syntology":null},{"url":"/paper/lsdnet-trainable-modification-of-lsd","title":"LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection","date":"2022-09-10","arxiv_id":"2209.04642","repositories_listed":1,"syntology":null},{"url":"/paper/semantic-room-wireframe-detection-from-a","title":"Semantic Room Wireframe Detection from a Single View","date":"2022-06-01","arxiv_id":"2206.00491","repositories_listed":1,"syntology":null},{"url":"/paper/elsed-enhanced-line-segment-drawing","title":"ELSED: Enhanced Line SEgment Drawing","date":"2021-08-06","arxiv_id":"2108.03144","repositories_listed":1,"syntology":null},{"url":"/paper/icdar-2021-competition-on-historical-map","title":"ICDAR 2021 Competition on Historical Map Segmentation","date":"2021-05-27","arxiv_id":"2105.13265","repositories_listed":1,"syntology":null},{"url":"/paper/deep-hough-transform-line-priors","title":"Deep Hough-Transform Line Priors","date":"2020-07-18","arxiv_id":"2007.09493","repositories_listed":1,"syntology":null},{"url":"/paper/learning-to-parse-wireframes-in-images-of-man-1","title":"Learning to Parse Wireframes in Images of Man-Made Environments","date":"2020-07-15","arxiv_id":"2007.07527","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_unverified":1,"n_pointer_only":3}},{"url":"/paper/holistically-attracted-wireframe-parsing","title":"Holistically-Attracted Wireframe Parsing","date":"2020-03-03","arxiv_id":"2003.01663","repositories_listed":1,"syntology":null},{"url":"/paper/line-as-object-datasets-and-framework-for","title":"Sem-LSD: A Learning-based Semantic Line Segment Detector","date":"2019-09-14","arxiv_id":"1909.06591","repositories_listed":1,"syntology":null},{"url":"/paper/190503415","title":"PPGNet: Learning Point-Pair Graph for Line Segment Detection","date":"2019-05-09","arxiv_id":"1905.03415","repositories_listed":1,"syntology":null},{"url":"/paper/190503246","title":"End-to-End Wireframe Parsing","date":"2019-05-08","arxiv_id":"1905.03246","repositories_listed":1,"syntology":{"n":14,"n_ran":1,"n_unverified":13,"n_pointer_only":0}},{"url":"/paper/learning-attraction-field-representation-for","title":"Learning Attraction Field Representation for Robust Line Segment Detection","date":"2018-12-05","arxiv_id":"1812.02122","repositories_listed":1,"syntology":null}],"syntology_records":5,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}