Browse State-of-the-Art › Symmetry Detection
Symmetry Detection
15 papers with code · 1 benchmark · 5 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| YCB-Video (1 row) | (DOSE)Dense Occlusion Symmetry Network | Symmetry Detection of Occluded Point Cloud Using Deep Learning | code | — | Compare |
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
5 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
15 shown of 15 papers with code (49 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.
-
29 Jun 2023 2 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)In this paper, we introduce scattering spectra models for stationary fields and we show that they provide accurate and robust statistical descriptions of a wide range of fields encountered in physics.
-
1 Jan 2023 2 repositories listedE3Sym establishes robust point correspondences through the use of E(3) invariant features extracted from a lightweight neural network, from which the dense symmetry prediction is produced.
-
14 Mar 2020 2 repositories listedSymmetry detection has been a classical problem in computer graphics, many of which using traditional geometric methods.
-
30 Nov 2018 2 repositories listedIn the present article, we depart from this strategy by training a CNN to predict a two-dimensional vector field, which maps each scene point to a candidate skeleton pixel, in the spirit of flux-based skeletonization…
-
19 Jan 2023 1 repository listedRecently, Hamiltonian neural networks (HNN) have been introduced to incorporate prior physical knowledge when learning the dynamical equations of Hamiltonian systems.
-
2 Dec 2022 1 repository listedDifferent tasks in the computational pipeline of single-particle cryo-electron microscopy (cryo-EM) require enhancing the quality of the highly noisy raw images.
-
31 Mar 2022 1 repository listed Syntology ran 3 of 12 samples · 9 unverifiedThe inherent challenge of detecting symmetries stems from arbitrary orientations of symmetry patterns; a reflection symmetry mirrors itself against an axis with a specific orientation while a rotation symmetry matches…
-
17 Jan 2022 1 repository listedWe demonstrate and analyze the performance of the extended algorithm to detect localised symmetries and the machine learning model to classify rotational symmetries.
-
18 Dec 2021 1 repository listedOffline estimation of the dynamical model of a Markov Decision Process (MDP) is a non-trivial task that greatly depends on the data available in the learning phase.
-
15 Oct 2019 1 repository listed Syntology ran 0 of 10 samples · 10 unverifiedIn this paper, we present a novel learning framework to automatically discover global planar reflective symmetry of a 3D shape.
-
1 Jul 2019 1 repository listedFinally, we make available a collection of images of graph drawings with specific symmetric features that can be used in machine learning systems for training, testing and validation purposes.
-
17 Jul 2018 1 repository listedThe end-to-end deep learning approach, referred to as a side-output residual network (SRN), leverages the output residual units (RUs) to fit the errors between the object ground-truth symmetry and the side-outputs of…
-
10 Jul 2017 1 repository listedSymmetry is one of the significant visual properties inside an image plane, to identify the geometrically balanced structures through real-world objects.
-
7 Mar 2017 1 repository listedBy stacking RUs in a deep-to-shallow manner, SRN exploits the 'flow' of errors among multiple scales to ease the problems of fitting complex outputs with limited layers, suppressing the complex backgrounds, and…
-
17 Sep 2016 1 repository listedWe present a convolutional approach to reflection symmetry detection in 2D.
Syntology lines on 3 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections