Horizon Line Estimation

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

2 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

7 shown of 7 papers with code (7 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.

• Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses
  10 May 2019 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In contrast, we learn hypothesis search in a principled fashion that lets us optimize an arbitrary task loss during training, leading to large improvements on classic computer vision tasks.
• Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
  8 Jul 2017 2 repositories listed
  We present a novel approach for vanishing point detection from uncalibrated monocular images.
• Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks
  1 Jun 2023 1 repository listed
  Computer vision systems that are deployed in safety-critical applications need to quantify their output uncertainty.
• Temporally Consistent Horizon Lines
  23 Jul 2019 1 repository listed
  The horizon line is an important geometric feature for many image processing and scene understanding tasks in computer vision.
• A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws
  1 Sep 2018 1 repository listed
  We show that, in images of man-made environments, the horizon line can usually be hypothesized based on an a contrario detection of second-order grouping events.
• Detecting Vanishing Points using Global Image Context in a Non-Manhattan World
  19 Aug 2016 1 repository listed
  Our method reverses this process: we propose a set of horizon line candidates and score each based on the vanishing points it contains.
• Horizon Lines in the Wild
  7 Apr 2016 1 repository listed
  The horizon line is an important contextual attribute for a wide variety of image understanding tasks.

Syntology lines on 1 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.