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get_final_iter

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

get_final_iter appears in the code Syntology harvested for 15 papers, as 2 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 14 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 get_final_iter 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_final_iter; 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
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 15 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; 15 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
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling 2 Jul 2024 zmhhmz/resfu/mmsegmentation/.dev_scripts/gather_models.py 88d68650d669bb11 ran no licence file found · pointer only
HRSAM: Efficient Interactive Segmentation in High-Resolution Images 2 Jul 2024 youhuang67/high-resolution-segment-anything/mmsegmentation/.dev_scripts/gather_models.py 88d68650d669bb11 ran no licence file found · pointer only
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation 10 May 2024 nizhenliang/cgrseg/.dev/gather_models.py 88d68650d669bb11 ran Apache-2.0 (permissive)
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model 2 Apr 2024 zhuqinfeng1999/samba/.dev_scripts/gather_models.py 88d68650d669bb11 ran Apache-2.0 (permissive)
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline 1 Feb 2024 simarkareer/unifiedvideoda/.dev/gather_models.py 88d68650d669bb11 ran Apache-2.0 (permissive)
Perceptual Artifacts Localization for Image Synthesis Tasks 9 Oct 2023 open-mmlab/mmsegmentation/.dev_scripts/gather_models.py 88d68650d669bb11 ran Apache-2.0 (permissive)
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation 25 Sep 2023 VinAIResearch/Dataset-Diffusion/mmsegmentation/.dev/gather_models.py 88d68650d669bb11 ran AGPL-3.0 (copyleft) · pointer only
Compensation Learning in Semantic Segmentation 26 Apr 2023 tnt-LUH/compensation_learning/.dev/gather_models.py 4cb206897216091f unverified Apache-2.0 (permissive)
Learning Context-aware Classifier for Semantic Segmentation 21 Mar 2023 tianzhuotao/CAC/.dev/gather_models.py 88d68650d669bb11 ran Apache-2.0 (permissive)
On the Connection between Local Attention and Dynamic Depth-wise Convolution 8 Jun 2021 Atten4Vis/DemystifyLocalViT/downstreams/segmentation/.dev/gather_models.py 88d68650d669bb11 ran MIT (permissive)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers 31 May 2021 UAws/CV-3315-Is-All-You-Need/.dev/gather_models.py 88d68650d669bb11 ran Apache-2.0 (permissive)
A Large-Scale Benchmark for Food Image Segmentation 12 May 2021 LARC-CMU-SMU/FoodSeg103-Benchmark-v1/.dev/gather_models.py 88d68650d669bb11 ran Apache-2.0 (permissive)
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 25 Mar 2021 koechslin/swin-transformer-semantic-segmentation/.dev/gather_models.py 88d68650d669bb11 ran Apache-2.0 recorded; this copy not marked cleared · pointer only
arXiv:Wang_Exploring_Set_Similarity_for_Dense_Self-Supervised_Representation_Learning_CVPR_2022_paper WXinlong/mmsegmentation/.dev/gather_models.py 88d68650d669bb11 ran Apache-2.0 (permissive)
arXiv:Guo_ISDNet_Integrating_Shallow_and_Deep_Networks_for_Efficient_Ultra-High_Resolution_CVPR_2022_paper cedricgsh/ISDNet/.dev/gather_models.py 88d68650d669bb11 ran 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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