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fast_hist

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

fast_hist appears in the code Syntology harvested for 24 papers, as 8 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 23 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 fast_hist 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 7 of the 8 distinct code bodies named fast_hist; 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
2ran · fixture could not drive it
5ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 24 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

24 papers shown of 24, newest first; 24 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; 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
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model 1 Jul 2025 ucaszyp/World4Drive/custom_mmdet3d/core/evaluation/seg_eval.py 7f5f5b45cabc7d55 ran Apache-2.0 (permissive)
OccMamba: Semantic Occupancy Prediction with State Space Models 19 Aug 2024 USTCLH/OccMamba/projects/occ_plugin/occupancy/detectors/occmamba.py 4b39850e5b66c8ba ran MIT (permissive)
Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook 8 Dec 2023 yilmazkadir/segmentation_losses/lib/utils.py 3e350d1ea4a3538d ran no licence file found · pointer only
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications 29 Nov 2023 haomo-ai/cam4docc/other_baselines/lifted_2d/eval_lifted_2d.py a65402bcd267f61f ran MIT (permissive)
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation 19 Jul 2023 lizhaoliu-Lec/CPCM/lib/utils.py 3e350d1ea4a3538d ran MIT (permissive)
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions 21 Jul 2022 identical code first harvested elsewhere d86fb168246b16a4 ran · fixture could not drive it licence of this copy not recorded
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation 14 Feb 2022 tsunghan-wu/d2ada/evaluation.py d86fb168246b16a4 ran · fixture could not drive it MIT (permissive)
Fast Point Transformer 9 Dec 2021 POSTECH-CVLab/FastPointTransformer/src/utils/metric.py 26111baa8252955c ran MIT (permissive)
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection 9 Dec 2021 Xianpeng919/MonoCon/monocon/mmdet3d/core/evaluation/seg_eval.py 7f5f5b45cabc7d55 ran no licence file found · pointer only
Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds 23 Sep 2021 jokester-zzz/ssa-sc/networks/train_SSA_SC.py 87f4974196dfa580 ran · fixture could not drive it no licence file found · pointer only
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks 5 Jun 2021 jxhuang0508/CaCo/caco_vanilla_finetune/compute_iou.py d86fb168246b16a4 ran · fixture could not drive it MIT (permissive)
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection 22 Apr 2021 konyul/mmdet3d/mmdet3d/core/evaluation/seg_eval.py 7f5f5b45cabc7d55 ran Apache-2.0 (permissive)
Space-Time Correspondence as a Contrastive Random Walk 25 Jun 2020 ajabri/videowalk/code/eval/eval_vip.py d86fb168246b16a4 ran · fixture could not drive it MIT (permissive)
FDA: Fourier Domain Adaptation for Semantic Segmentation 11 Apr 2020 identical code first harvested elsewhere d86fb168246b16a4 ran · fixture could not drive it licence of this copy not recorded
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation 31 Mar 2020 edwardzhou130/PolarSeg/train_SemanticKITTI.py 87f4974196dfa580 ran · fixture could not drive it BSD-3-Clause (permissive)
Multi-source Domain Adaptation for Semantic Segmentation 27 Oct 2019 Luodian/MADAN/scripts/eval_fcn.py d86fb168246b16a4 ran · fixture could not drive it MIT (permissive)
Joint-task Self-supervised Learning for Temporal Correspondence 26 Sep 2019 Liusifei/UVC/eval_vip.py d86fb168246b16a4 ran · fixture could not drive it MIT (permissive)
Parsing R-CNN for Instance-Level Human Analysis 30 Nov 2018 soeaver/Parsing-R-CNN/rcnn/modeling/parsing_rcnn/loss.py d86fb168246b16a4 ran · fixture could not drive it MIT (permissive)
Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation 25 Sep 2018 RoyalVane/CLAN/CLAN_iou.py d86fb168246b16a4 ran · fixture could not drive it MIT (permissive)
Adaptive Temporal Encoding Network for Video Instance-level Human Parsing 2 Aug 2018 identical code first harvested elsewhere d86fb168246b16a4 ran · fixture could not drive it licence of this copy not recorded
Few-Shot Segmentation Propagation with Guided Networks 25 May 2018 shelhamer/revolver/revolver/metrics.py 71db8dcc6236c526 unverified BSD-2-Clause (permissive)
Joint 2D-3D-Semantic Data for Indoor Scene Understanding 3 Feb 2017 jamycheung/trans4pass/adaptations/compute_iou.py d86fb168246b16a4 ran · fixture could not drive it Apache-2.0 (permissive)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation 2 Nov 2015 tkuanlun350/Tensorflow-SegNet/Utils.py d86fb168246b16a4 ran · fixture could not drive it MIT (permissive)
arXiv:Ma_Cam4DOcc_Benchmark_for_Camera-Only_4D_Occupancy_Forecasting_in_Autonomous_Driving_CVPR_2024_paper haomo-ai/Cam4DOcc/other_baselines/lifted_2d/eval_lifted_2d.py a65402bcd267f61f ran 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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