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get_iou

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

get_iou appears in the code Syntology harvested for 34 papers, as 31 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 15 of the papers; 4 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_iou 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 10 of the 31 distinct code bodies named get_iou; 21 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
10ran
21unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 36 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

34 papers shown of 34, newest first; 36 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; 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
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2 added by Syntology 2025-10 (from id) CGCL-codes/UAP-SAM2/sam2_util.py 971426f0fd97a041 unverified no licence file found · pointer only
SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement 10 Feb 2025 linyq2117/samrefiner/SAMRefiner_plus/iou_adaption_davis585.py b8469730f63cb657 unverified MIT (permissive)
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs 10 Jan 2025 microsoft/PEACE/calc_metrics.py 3d58efa3a9ce1be8 unverified MIT (permissive)
Monocular Occupancy Prediction for Scalable Indoor Scenes 16 Jul 2024 hongxiaoy/ISO/iso/loss/sscMetrics.py 251f4945130ffbc3 ran fingerprinted Apache-2.0 (permissive)
Part2Object: Hierarchical Unsupervised 3D Instance Segmentation 14 Jul 2024 chengshiest/part2object/models/criterion.py 5ea6027b55d9b643 ran fingerprinted MIT (permissive)
A Unified Framework for 3D Scene Understanding 3 Jul 2024 dk-liang/uniseg3d/uniseg3d/instance_criterion.py 733b1658e2226813 ran fingerprinted Apache-2.0 (permissive)
Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model 27 May 2024 kuanchihhuang/reason3d/lavis/models/reason3d_models/seg_loss.py 911df8410fd2dad6 ran no licence file found · pointer only
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction 27 Feb 2024 qizekun/ShapeLLM/llava/eval/eval_gapartnet.py 6a27d2ea085ab083 ran fingerprinted Apache-2.0 (permissive)
Uncovering the Full Potential of Visual Grounding Methods in VQA 15 Jan 2024 dreichCSL/TrueVG/preprocessing/truevg/prep_evaluation.py 47aac06436736844 ran MIT (permissive)
PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation 5 Dec 2023 zyc00/partslip2/src/utils.py 743c650ee7589524 ran MIT (permissive)
MUVO: A Multimodal World Model with Spatial Representations for Autonomous Driving 20 Nov 2023 fzi-forschungszentrum-informatik/muvo/muvo/metrics.py ea594d78df24aacd ran no licence file found · pointer only
3D-Aware Visual Question Answering about Parts, Poses and Occlusions 27 Oct 2023 xingruiwang/3d-aware-vqa/PO3D-VQA/6D_pose_estimator/align_objects.py a080ed5b2ef7aedb ran no licence file found · pointer only
NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space 26 Sep 2023 Jiawei-Yao0812/NDCScene/ndcscene/loss/sscMetrics.py 251f4945130ffbc3 ran fingerprinted no licence file found · pointer only
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free 25 Sep 2023 wysoczanska/clip-diy/thirdparty/utils.py 2b89ae29e59412c8 ran no licence file found · pointer only
REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction 27 Jun 2023 real-stanford/reflect/main/scene_graph.py 2cc0c2941e7fc49a unverified MIT (permissive)
OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments 14 Jun 2023 k4ntz/oc_atari/ocatari/ram/_helper_methods.py eb7d80123214dde6 unverified MIT (permissive)
OVO: Open-Vocabulary Occupancy 25 May 2023 dzcgaara/OVO/ovo/loss/sscMetrics.py 251f4945130ffbc3 ran fingerprinted Apache-2.0 (permissive)
Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos 11 Mar 2023 zjr2000/gvl/densevid_eval3/eval_grounding.py fe5aa6f8364bdae4 unverified MIT (permissive)
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution 1 Mar 2023 VinAIResearch/ISBNet/isbnet/model/criterion.py d25a8a78b883dc85 unverified BSD-3-Clause (permissive)
OccDepth: A Depth-Aware Method for 3D Semantic Scene Completion 27 Feb 2023 megvii-research/occdepth/occdepth/loss/sscMetrics.py 251f4945130ffbc3 ran fingerprinted Apache-2.0 (permissive)
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation 4 Sep 2022 suhwan-cho/tmo/utils.py b20541bf8ca960ad unverified MIT (permissive)
SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning 17 Aug 2022 ethz-asl/ssc_exploration/ssc_network/utils/ssc_metrics.py 251f4945130ffbc3 ran fingerprinted BSD-3-Clause (permissive)
Point Scene Understanding via Disentangled Instance Mesh Reconstruction 31 Mar 2022 ashawkey/dimr/evaluation/iou/metrics.py e3928e46e3ea2137 unverified Apache-2.0 (permissive)
OPD: Single-view 3D Openable Part Detection 30 Mar 2022 3dlg-hcvc/OPD/render_pred.py 494f1bd4b0d1fcc6 unverified MIT (permissive)
MonoScene: Monocular 3D Semantic Scene Completion 1 Dec 2021 astra-vision/monoscene/monoscene/loss/sscMetrics.py 251f4945130ffbc3 ran fingerprinted Apache-2.0 (permissive)
Context-Aware Mixup for Domain Adaptive Semantic Segmentation 8 Aug 2021 qianyuzqy/CAMix/evaluateUDA.py 9d6e0a9afb10b95a unverified Apache-2.0 (permissive)
Unsupervised Object-Level Representation Learning from Scene Images 22 Jun 2021 jiahao000/orl/openselfsup/datasets/orl.py e8ef844744e6d729 unverified Apache-2.0 (permissive)
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank 27 Apr 2021 Shathe/SemiSeg-Contrastive/evaluateSSL.py 35c823e7272e922d unverified Apache-2.0 (permissive)
DACS: Domain Adaptation via Cross-domain Mixed Sampling 17 Jul 2020 vikolss/DACS/evaluateUDA.py f96234da03394664 unverified MIT (permissive)
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning 15 Jul 2020 WilhelmT/ClassMix/evaluateSSL.py fb1d8f93c75b5433 unverified MIT (permissive)
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes 30 Nov 2018 hjwdzh/TextureNet/src/execute.py 2d1cba39d92e0613 unverified MIT (permissive)
TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes 30 Nov 2018 hjwdzh/TextureNet/evaluate/evaluate_confusion.py 1c60fe5a3acb8f46 unverified MIT (permissive)
COCO-Stuff: Thing and Stuff Classes in Context 12 Dec 2016 divyanshpuri02/COCO_2018-Stuff-Segmentation-Challenge/COCO_2018-Stuff-Segmentation-Challenge/keras_segmentation/metrics.py 3a10ab78ca4c1225 unverified MIT (permissive)
arXiv:Hu_VMNet_Voxel-Mesh_Network_for_Geodesic-Aware_3D_Semantic_Segmentation_ICCV_2021_paper hzykent/VMNet/utils.py 3b5ea9bfe8884963 unverified MIT (permissive)
arXiv:136940019 ETHRuiGong/TADA/evaluateTACS.py e20f7dffd396e3e6 unverified MIT (permissive)
arXiv:136940019 ETHRuiGong/TADA/evaluateTACS_16classes.py 88e043c157d33ab6 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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