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batch_pix_accuracy

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

batch_pix_accuracy appears in the code Syntology harvested for 12 papers, as 7 distinct code bodies found in 12 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 batch_pix_accuracy 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 7 distinct code bodies named batch_pix_accuracy; 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
0ran · fixture could not drive it
1ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 12 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

12 papers shown of 12, newest first; 12 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 2 papers added by Syntology; 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
ADGNet: Asymmetric Dual-text Guided Network for Infrared Small Target Detection added by Syntology 2026-09 (from id) iLearn-Lab/MM26-ADGNet/metrics.py 4dfe8308e4ca4fc5 unverified Apache-2.0 (permissive)
DGNet: Dual-knowledge Guided Network for Infrared Small Target Detection added by Syntology 2026-09 (from id) iLearn-Lab/MM26-DGNet/metrics.py 4dfe8308e4ca4fc5 unverified Apache-2.0 (permissive)
Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI 20 May 2025 facebookresearch/dynadiff/metrics/mIOU/eval_miou.py f1fb897b7787acfa unverified MIT recorded; this copy not marked cleared · pointer only
Infrared Small Target Detection in Satellite Videos: A New Dataset and A Novel Recurrent Feature Refinement Framework 19 Sep 2024 xinyiying/rfr/codes/metrics.py 4dfe8308e4ca4fc5 unverified no licence file found · pointer only
Infrared Small Target Detection with Scale and Location Sensitivity 28 Mar 2024 ying-fu/mshnet/utils/metric.py 4dfe8308e4ca4fc5 unverified no licence file found · pointer only
SCTransNet: Spatial-channel Cross Transformer Network for Infrared Small Target Detection 28 Jan 2024 xdfai/sctransnet/metrics.py 4dfe8308e4ca4fc5 unverified no licence file found · pointer only
arXiv:2310.01680 2023-10 (from id) zshyang/kaf/metrics.py 81d3c7c010e3ffce ran no licence file found · pointer only
Dense Nested Attention Network for Infrared Small Target Detection 1 Jun 2021 YeRen123455/Infrared-Small-Target-Detection/model/metric.py 4dfe8308e4ca4fc5 unverified MIT (permissive)
Segmenting Transparent Objects in the Wild 31 Mar 2020 xieenze/Segment_Transparent_Objects/segmentron/utils/score.py a08d84c1264ca07e unverified Apache-2.0 (permissive)
Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network 4 Aug 2019 shirgur/UMIS/utils/metrices.py ba849ba09bf7d085 unverified Apache-2.0 (permissive)
Fast-SCNN: Fast Semantic Segmentation Network 12 Feb 2019 Tramac/Fast-SCNN-pytorch/utils/metric.py d98304f5d56cebc0 unverified Apache-2.0 (permissive)
Pyramid Scene Parsing Network 4 Dec 2016 YininKorea/Contour-aware-equipotential-learning/utils/Evaluator.py 7b9464d81818921d 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