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data_augmentation

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

data_augmentation appears in the code Syntology harvested for 11 papers, as 8 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 2 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 data_augmentation 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 2 of the 8 distinct code bodies named data_augmentation; 6 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
1ran · fixture could not drive it
1ran
6unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 11 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

11 papers shown of 11, newest first; 11 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; 1 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
Learning Anatomically Consistent Embedding for Chest Radiography 1 Dec 2023 jlianglab/peac/md_aug.py b03e9aa76e26693d ran licence not identified · pointer only
PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation 8 Aug 2023 liuzhu-cv/crmef/dataset/dataset_patches.py 0db1cd12ba9b89e6 unverified no licence file found · pointer only
Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution 18 Apr 2022 Gaurav14cs17/Reparameterization-Denoising/utils/utils.py 8fcd86b3d0e435c6 unverified MIT (permissive)
U-shape Transformer for Underwater Image Enhancement 23 Nov 2021 LintaoPeng/U-shape_Transformer/net/utils.py 0b71fac5a3384432 unverified MIT (permissive)
TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising 8 Jun 2021 wdayang/TED-net/data_aug.py 5e5853c8260e5738 unverified MIT (permissive)
Learning to Stop While Learning to Predict 9 Jun 2020 xinshi-chen/l2stop/dncnn_stop/utils.py 0b71fac5a3384432 unverified MIT (permissive)
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning 5 Jul 2019 IVRL/BUIFD/Inference_Pretrained/utils.py 0b71fac5a3384432 unverified MIT (permissive)
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images 7 Feb 2019 Magauiya/Extended_SURE/utils.py 8d166f0c95e2ceeb unverified MIT (permissive)
Lip2AudSpec: Speech reconstruction from silent lip movements video 26 Oct 2017 hassanhub/LipReading/codes/train_main.py 5ae4476bec0fc995 ran · fixture could not drive it fingerprinted MIT (permissive)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising 13 Aug 2016 sldyns/DnCNN_paddle/utils.py 0b71fac5a3384432 unverified Apache-2.0 (permissive)
arXiv:ijcai2025_0091 Tomchenshi/HSRMamba/utils.py 36fa07d74c5ffaba 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