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get_translation_matrix

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

get_translation_matrix appears in the code Syntology harvested for 17 papers, as 2 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 15 of the papers; 1 of the code bodies carries 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 get_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 1 of the 2 distinct code bodies named get_translation_matrix; 1 is 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
1ran
1unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 17 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

17 papers shown of 17, newest first; 17 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; 3 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
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation 19 Jul 2024 liujf1226/mono-vifi/layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation 18 Apr 2024 Lavreniuk/SPIdepth/calc_layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving 26 Mar 2024 Gandolfczjh/3D2Fool/layers.py 955112f5788539a8 ran fingerprinted no licence file found · pointer only
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions 23 Oct 2023 SenZHANG-GitHub/ekf-imu-depth/layers.py 955112f5788539a8 ran fingerprinted no licence file found · pointer only
Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation 11 Sep 2023 LiuJF1226/BDEdepth/layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling 3 Jan 2023 opendrivelab/ppgeo/layers.py 955112f5788539a8 ran fingerprinted Apache-2.0 (permissive)
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation 7 Apr 2022 weiyithu/surrounddepth/layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network 22 Mar 2022 ucaszyp/steps/components/layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR 20 Sep 2021 AutoAILab/FusionDepth/layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark 9 Aug 2021 w2kun/RNW/components/layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
Learning Stereo from Single Images 4 Aug 2020 mattpoggi/depthstillation/geometry.py 955112f5788539a8 ran fingerprinted MIT (permissive)
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation 20 Jul 2020 cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation/dataloaders/image_transforms.py 741f7684611ad58f unverified MIT (permissive)
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation 24 Jul 2019 ku-cvlab/maskingdepth/layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
Unity: A General Platform for Intelligent Agents 7 Sep 2018 vkakerbeck/ml-agents-dev/ml-agents-dev/mlagentsdev/trainers/depth_layers.py 955112f5788539a8 ran fingerprinted Apache-2.0 (permissive)
arXiv:aaai_28383 hisfog/SfMNeXt-Impl/calc_layers.py 955112f5788539a8 ran fingerprinted MIT (permissive)
arXiv:aaai_25332 Kaiseem/SLAug/dataloaders/image_transforms.py 741f7684611ad58f unverified Apache-2.0 (permissive)
arXiv:Zhou_R-MSFM_Recurrent_Multi-Scale_Feature_Modulation_for_Monocular_Depth_Estimating_ICCV_2021_paper jsczzzk/R-MSFM/layers.py 955112f5788539a8 ran fingerprinted 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".

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