Home › Code › translation_matrix

translation_matrix

Syntologyentry name in harvested coderead from the graph 2026-09-24

translation_matrix appears in the code Syntology harvested for 15 papers, as 2 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named translation_matrix do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 2 distinct code bodies named translation_matrix; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 0 of the 16 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

15 papers shown of 15, newest first; 16 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 5 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision 21 Mar 2023 marialeyvallina/generalized_contrastive_loss/src/labeling/transformations.py edeb1406911ce025 unverified MIT (permissive)
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization 29 Jul 2020 Liumouliu/Deep_blind_PnP/lib/transformations.py edeb1406911ce025 unverified MIT (permissive)
Robust 6D Object Pose Estimation by Learning RGB-D Features 29 Feb 2020 mentian/object-posenet/lib/transformations.py edeb1406911ce025 unverified MIT (permissive)
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints 23 Oct 2019 j96w/6-PACK/libs/transformations.py edeb1406911ce025 unverified MIT (permissive)
TuneNet: One-Shot Residual Tuning for System Identification and Sim-to-Real Robot Task Transfer 2019-07 (from id) Kukanani/tune-net-release/tune/transformations.py edeb1406911ce025 unverified MIT (permissive)
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion 15 Jan 2019 RiplleYang/DenseFusion/lib/transformations.py edeb1406911ce025 unverified MIT (permissive)
Learning to Drive in a Day 1 Jul 2018 B-C-WANG/ReinforcementLearningInAutoPilot/src/thirdParty/transformations.py edeb1406911ce025 unverified MIT (permissive)
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry 2 May 2018 farrell236/SVRnet/generate_data/transformations.py edeb1406911ce025 unverified MIT (permissive)
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning 2018-03 (from id) BarisYazici/deep-rl-grasping/manipulation_main/common/transformations.py edeb1406911ce025 unverified MIT (permissive)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 SBPL-Cruz/perch_pose_sampler/utils/transformations.py edeb1406911ce025 unverified MIT (permissive)
arXiv:aaai_25456 SuhZhang/ConvMatch/core/transformations.py edeb1406911ce025 unverified MIT (permissive)
arXiv:aaai_20104 swords123/SSC-6D/lib/models/transformations.py edeb1406911ce025 unverified MIT (permissive)
arXiv:aaai_19917 ZhiChen902/DetarNet/transformations.py edeb1406911ce025 unverified MIT (permissive)
arXiv:aaai_19917 ZhiChen902/DetarNet/utils/SE3.py a39f129bc15e9773 unverified MIT (permissive)
arXiv:Zhong_T-Net_Effective_Permutation-Equivariant_Network_for_Two-View_Correspondence_Learning_ICCV_2021_paper x-gb/T-Net/transformations.py edeb1406911ce025 unverified MIT (permissive)
arXiv:Zhang_DeMatch_Deep_Decomposition_of_Motion_Field_for_Two-View_Correspondence_Learning_CVPR_2024_paper SuhZhang/DeMatch/core/transformations.py edeb1406911ce025 unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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