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colorize_mask

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

colorize_mask appears in the code Syntology harvested for 21 papers, as 11 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 16 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 colorize_mask 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 6 of the 11 distinct code bodies named colorize_mask; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
2ran · fixture could not drive it
3ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 25 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

21 papers shown of 21, newest first; 25 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; 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
Cross-Layer Attentive Feature Upsampling for Low-latency Semantic Segmentation added by Syntology 2026-01 (from id) hustvl/simpleseg/simpleseg/datasets/mapillary.py 56db7252caf1ec74 unverified no licence file found · pointer only
Unified Domain Adaptive Semantic Segmentation 22 Nov 2023 zhe-sapi/udass/video_udass/Code_for_Optical_Flow_Estimation/Cityscapes_val_optical_flow_scale512.py 9d4f35cc87463ef0 ran no licence file found · pointer only
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation 12 Jul 2023 vankouf/rfenet/datasets/GSD.py a9e944d7a41859d3 ran no licence file found · pointer only
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation 12 Jul 2023 vankouf/rfenet/datasets/Trans10k.py 8e206ed4da56ea90 ran no licence file found · pointer only
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation 9 Mar 2023 brdav/cma/models/model.py f024ae9ce23a4ace ran · fixture could not drive it MIT (permissive)
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks 5 Jun 2021 jxhuang0508/CaCo/caco_vanilla_finetune/evaluate_cityscapes.py 21ac171a17099011 ran · honoured contract MIT (permissive)
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking 5 Jun 2021 jxhuang0508/RDA/crst/deeplab/datasets_advent.py 21ac171a17099011 ran · honoured contract MIT (permissive)
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking 5 Jun 2021 jxhuang0508/RDA/crst/evaluate_advent.py 90009a990acf6c4d ran · fixture could not drive it MIT (permissive)
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking 5 Jun 2021 jxhuang0508/RDA/crst/crst_seg_advent.py b9a6f5d02f50c40a unverified MIT (permissive)
Cross-View Regularization for Domain Adaptive Panoptic Segmentation 3 Mar 2021 jxhuang0508/CVRN/cvrn_train_r/ADVENT/CRST/crst_seg_aux_ss_trg_cross_style_pseudo_label_generation.py b9a6f5d02f50c40a unverified MIT (permissive)
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning 15 Jul 2020 WilhelmT/ClassMix/utils/helpers.py 980e8f8763638799 unverified MIT (permissive)
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation 13 Apr 2020 identical code first harvested elsewhere 21ac171a17099011 ran · honoured contract licence of this copy not recorded
FDA: Fourier Domain Adaptation for Semantic Segmentation 11 Apr 2020 YanchaoYang/FDA/evaluation_multi.py cf07bfa080a99bc0 unverified no licence file found · pointer only
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation 18 Mar 2020 SHI-Labs/Unsupervised-Domain-Adaptation-with-Differential-Treatment/SSL.py 21ac171a17099011 ran · honoured contract no licence file found · pointer only
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation 8 Mar 2020 identical code first harvested elsewhere 21ac171a17099011 ran · honoured contract licence of this copy not recorded
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation 2 Mar 2020 identical code first harvested elsewhere 21ac171a17099011 ran · honoured contract licence of this copy not recorded
Unsupervised Scene Adaptation with Memory Regularization in vivo 24 Dec 2019 identical code first harvested elsewhere 21ac171a17099011 ran · honoured contract licence of this copy not recorded
Confidence Regularized Self-Training 26 Aug 2019 yzou2/CRST/evaluate.py 90009a990acf6c4d ran · fixture could not drive it no licence file found · pointer only
Domain Adaptation for Structured Output via Discriminative Patch Representations 16 Jan 2019 wasidennis/AdaptSegNet/pytorch_0.4/evaluate_cityscapes.py 21ac171a17099011 ran · honoured contract no licence file found · pointer only
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation 25 Sep 2018 RoyalVane/CLAN/CLAN_evaluate.py 21ac171a17099011 ran · honoured contract MIT (permissive)
Learning to Adapt Structured Output Space for Semantic Segmentation 28 Feb 2018 lym29/DASeg/evaluate_cityscapes.py 21ac171a17099011 ran · honoured contract no licence file found · pointer only
No More Discrimination: Cross City Adaptation of Road Scene Segmenters 27 Apr 2017 identical code first harvested elsewhere 21ac171a17099011 ran · honoured contract licence of this copy not recorded
Joint 2D-3D-Semantic Data for Indoor Scene Understanding 3 Feb 2017 jamycheung/trans4pass/adaptations/evaluate.py 21ac171a17099011 ran · honoured contract Apache-2.0 (permissive)
Joint 2D-3D-Semantic Data for Indoor Scene Understanding 3 Feb 2017 jamycheung/trans4pass/adaptations/evaluate_out13.py e27caf70d841dc1a unverified Apache-2.0 (permissive)
arXiv:Li_From_Contexts_to_Locality_Ultra-High_Resolution_Image_Segmentation_via_Locality-Aware_ICCV_2021_paper liqiokkk/FCtL/models/helpers.py 980e8f8763638799 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".

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