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convert_to_separable_conv

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

convert_to_separable_conv appears in the code Syntology harvested for 11 papers, as 2 distinct code bodies found in 11 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 convert_to_separable_conv 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 convert_to_separable_conv; 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: 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

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; 2 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
On the Duality Between Sharpness-Aware Minimization and Adversarial Training 23 Feb 2024 weizeming/SAM_AT/SAM_segmentation/network/_deeplab.py ce942a958c0ae909 unverified no licence file found · pointer only
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation 10 Oct 2023 zkzhang98/coinseg/network/_deeplab.py ce942a958c0ae909 unverified no licence file found · pointer only
NamedMask: Distilling Segmenters from Complementary Foundation Models 22 Sep 2022 noelshin/namedmask/networks/deeplab/_deeplab.py ce942a958c0ae909 unverified MIT (permissive)
Deep Metric Learning for Open World Semantic Segmentation 10 Aug 2021 Jun-CEN/Open-World-Semantic-Segmentation/DeepLabV3Plus-Pytorch/network/utils.py ceca25f872bfae7f unverified MIT (permissive)
Robust Semantic Segmentation with Superpixel-Mix 2 Aug 2021 identical code first harvested elsewhere ce942a958c0ae909 unverified licence of this copy not recorded
A multi-centre polyp detection and segmentation dataset for generalisability assessment 8 Jun 2021 sharibox/polypgen-benchmark/network/_deeplab.py ce942a958c0ae909 unverified MIT (permissive)
Leveraging Category Information for Single-Frame Visual Sound Source Separation 15 Jul 2020 ly-zhu/Separating-Sounds-from-a-Single-Image/models/_deeplab.py ce942a958c0ae909 unverified MIT (permissive)
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features 9 May 2019 visinf/cad/segmentation/network/_deeplab.py ce942a958c0ae909 unverified Apache-2.0 (permissive)
Rethinking Atrous Convolution for Semantic Image Segmentation 17 Jun 2017 giannifranchi/deeplabv3-superpixelmix/network/_deeplab.py ce942a958c0ae909 unverified MIT (permissive)
arXiv:Jain_Scaling_Semantic_Segmentation_Beyond_1K_Classes_on_a_Single_GPU_ICCV_2021_paper shipra25jain/ESSNet/network/_deeplab.py ce942a958c0ae909 unverified MIT (permissive)
arXiv:Fahes_PODA_Prompt-driven_Zero-shot_Domain_Adaptation_ICCV_2023_paper astra-vision/PODA/network/_deeplab.py ce942a958c0ae909 unverified Apache-2.0 (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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