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get_final_results

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

get_final_results appears in the code Syntology harvested for 23 papers, as 3 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 11 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_results 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 3 distinct code bodies named get_final_results; 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
1ran
2unverified
0fingerprinted

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

23 papers shown of 23, 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; 4 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
Unleashing the Temporal Potential of Stereo Event Cameras for Continuous-Time 3D Object Detection added by Syntology 2025-08 (from id) mickeykang16/Ev-Stereo3D/mmdetection_kitti/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified no licence file found · pointer only
Semantic-aware SAM for Point-Prompted Instance Segmentation 26 Dec 2023 zhaoyangwei123/sapnet/TOV_mmdetection/.dev_scripts/gather_models.py 2268355e37eebb82 ran no licence file found · pointer only
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection 31 Mar 2023 hht1996ok/ea-bev/mmdetection-2.11.0/.dev_scripts/gather_models.py 2268355e37eebb82 ran Apache-2.0 (permissive)
Point-to-Box Network for Accurate Object Detection via Single Point Supervision 14 Jul 2022 ucas-vg/P2BNet/TOV_mmdetection/.dev_scripts/gather_models.py 2268355e37eebb82 ran MIT (permissive)
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection 6 May 2022 cuiziteng/MAET/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified Apache-2.0 (permissive)
A Normalized Gaussian Wasserstein Distance for Tiny Object Detection 26 Oct 2021 jwwangchn/NWD/.dev_scripts/gather_models.py 2268355e37eebb82 ran Apache-2.0 (permissive)
Exploring Classification Equilibrium in Long-Tailed Object Detection 17 Aug 2021 fcjian/LOCE/.dev_scripts/gather_models.py 2268355e37eebb82 ran Apache-2.0 (permissive)
On the Connection between Local Attention and Dynamic Depth-wise Convolution 8 Jun 2021 Atten4Vis/DemystifyLocalViT/downstreams/detection/.dev_scripts/gather_models.py 2268355e37eebb82 ran MIT (permissive)
On the Connection between Local Attention and Dynamic Depth-wise Convolution 8 Jun 2021 Atten4Vis/DemystifyLocalViT/downstreams/segmentation/.dev/gather_models.py 6c10c287d59a984c unverified MIT (permissive)
A Large-Scale Benchmark for Food Image Segmentation 12 May 2021 LARC-CMU-SMU/FoodSeg103-Benchmark-v1/.dev/gather_models.py 6c10c287d59a984c unverified Apache-2.0 (permissive)
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 25 Mar 2021 koechslin/swin-transformer-semantic-segmentation/.dev/gather_models.py 6c10c287d59a984c unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Anchor-Free Person Search 22 Mar 2021 daodaofr/AlignPS/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified Apache-2.0 (permissive)
VarifocalNet: An IoU-aware Dense Object Detector 31 Aug 2020 hyz-xmaster/VarifocalNet/.dev_scripts/gather_models.py 2268355e37eebb82 ran Apache-2.0 (permissive)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection 8 Jun 2020 Yuxiang1995/ICDAR2021_MFD/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified Apache-2.0 (permissive)
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement 19 Jan 2020 cuiziteng/iccv_maet/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified Apache-2.0 (permissive)
Image-based table recognition: data, model, and evaluation 25 Nov 2019 namtuanly/MTL-TabNet/mmdetection-2.11.0/.dev_scripts/gather_models.py 2268355e37eebb82 ran Apache-2.0 (permissive)
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection 11 Sep 2019 researchmm/WSOD2/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified MIT recorded; this copy not marked cleared · pointer only
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object 15 Aug 2019 SJTU-Thinklab-Det/r3det-on-mmdetection/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified Apache-2.0 (permissive)
MMDetection: Open MMLab Detection Toolbox and Benchmark 17 Jun 2019 JHuang-CV/mmdetectionV2/.dev_scripts/gather_models.py 2268355e37eebb82 ran Apache-2.0 (permissive)
MMDetection: Open MMLab Detection Toolbox and Benchmark 17 Jun 2019 13952522076/mmdet0/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified Apache-2.0 (permissive)
RepPoints: Point Set Representation for Object Detection 25 Apr 2019 Scalsol/RepPointsV2/.dev_scripts/gather_models.py fee6fb3d147348e3 unverified MIT recorded; this copy not marked cleared · pointer only
arXiv:Yang_Balanced_and_Hierarchical_Relation_Learning_for_One-Shot_Object_Detection_CVPR_2022_paper hero-y/BHRL/.dev_scripts/gather_models.py 2268355e37eebb82 ran Apache-2.0 (permissive)
arXiv:Wang_Exploring_Set_Similarity_for_Dense_Self-Supervised_Representation_Learning_CVPR_2022_paper WXinlong/mmsegmentation/.dev/gather_models.py 6c10c287d59a984c unverified Apache-2.0 (permissive)
arXiv:Liu_Integrally_Migrating_Pre-trained_Transformer_Encoder-decoders_for_Visual_Object_Detection_ICCV_2023_paper LiewFeng/imTED/.dev_scripts/gather_models.py 2268355e37eebb82 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 6c10c287d59a984c 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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