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distorted_bounding_box_crop

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

distorted_bounding_box_crop appears in the code Syntology harvested for 10 papers, as 9 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 1 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 distorted_bounding_box_crop 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 9 distinct code bodies named distorted_bounding_box_crop; 8 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
1ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 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

10 papers shown of 10, 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, and the graph's for 1 papers added by Syntology. 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
VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models added by Syntology 2025-10 (from id) jesimonbarreto/VESSA/src/CO3D_dataset.py 21ae1e5ae268d699 unverified no licence file found · pointer only
Critical Influence of Overparameterization on Sharpness-aware Minimization 29 Nov 2023 log-postech/sam-overparam/input_pipeline.py 7542a331d6feeafd ran no licence file found · pointer only
GradMax: Growing Neural Networks using Gradient Information 13 Jan 2022 google-research/growneuron/growneuron/imagenet/data_util.py 362ad792817cb093 unverified Apache-2.0 (permissive)
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation 9 Aug 2020 google-research/heldout-influence-estimation/libdata/imagenet_preprocessing.py b54e5d5d7eccda19 unverified Apache-2.0 (permissive)
Smooth Adversarial Training 25 Jun 2020 cihangxie/SmoothAdversarialTraining/EfficientNet/preprocessing.py b54e5d5d7eccda19 unverified MIT (permissive)
S4L: Self-Supervised Semi-Supervised Learning 9 May 2019 google-research/s4l/inception_preprocessing.py 2d348a2b4b7afde1 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours 5 Apr 2019 dstamoulis/single-path-nas/nas-search/preprocessing.py f45ff6307a313357 unverified Apache-2.0 (permissive)
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware 8 Jun 2018 ftramer/slalom/python/preprocessing/inception_preprocessing.py f1bd3b4c3f92fe63 unverified MIT (permissive)
Tensor2Tensor for Neural Machine Translation 16 Mar 2018 Eamin-sust/tensor2tensor/tensor2tensor/data_generators/imagenet.py c3b99eca8b1dea7b unverified Apache-2.0 (permissive)
Tensor2Tensor for Neural Machine Translation 16 Mar 2018 Erra-Ernesto/master/tensor2tensor/data_generators/imagenet.py 50ee75354b0c6168 unverified Apache-2.0 (permissive)
Xception: Deep Learning with Depthwise Separable Convolutions 7 Oct 2016 kwotsin/TensorFlow-Xception/xception_preprocessing.py f1bd3b4c3f92fe63 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