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non_max_suppression

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

non_max_suppression appears in the code Syntology harvested for 12 papers, as 10 distinct code bodies found in 13 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 non_max_suppression 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 10 distinct code bodies named non_max_suppression; 9 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
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 13 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; 13 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. 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
HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization 12 Aug 2024 sakibreza/eccv24-hat/iou_utils.py 44f4e934798b5b3f ran MIT (permissive)
Point Scene Understanding via Disentangled Instance Mesh Reconstruction 31 Mar 2022 ashawkey/dimr/model/rfs.py ad0e905aaa1821e5 unverified Apache-2.0 (permissive)
Towards End-to-End Unified Scene Text Detection and Layout Analysis 28 Mar 2022 google-research-datasets/hiertext/evaluator/np_box_list_ops.py 586a4c95ddc2595d unverified CC-BY-SA-4.0 (copyleft) · pointer only
YOLOP: You Only Look Once for Panoptic Driving Perception 25 Aug 2021 hustvl/yolop/lib/core/general.py ad8272beb4852755 unverified MIT (permissive)
YOLOv4: Optimal Speed and Accuracy of Object Detection 23 Apr 2020 Lebhoryi/keras-YOLOv3-model-set/tracking/model/deep_sort/preprocessing.py e8fe9fcc53566f61 unverified MIT (permissive)
JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset 19 Feb 2020 StanfordVL/JRMOT_ROS/src/deep_sort_utils.py e8fe9fcc53566f61 unverified MIT (permissive)
LVIS: A Dataset for Large Vocabulary Instance Segmentation 8 Aug 2019 craston/object_detection_cib/kod/core/nms.py e2c4fbced38f2435 unverified Apache-2.0 (permissive)
Peeking into the Future: Predicting Future Person Activities and Locations in Videos 11 Feb 2019 JunweiLiang/social-distancing-prediction/code/inference/Object_Detection_Tracking/application_util/preprocessing.py e8fe9fcc53566f61 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
YOLOv3: An Incremental Improvement 8 Apr 2018 Lornatang/PyTorch-yolov3/yolov3_pytorch/utils/nms.py f08bc60adbf978d5 unverified Apache-2.0 (permissive)
YOLOv3: An Incremental Improvement 8 Apr 2018 yuedongli1/yolov3_mindspore/utils/metrics.py 7479b68a714bcd2f unverified MIT (permissive)
Simple Online and Realtime Tracking with a Deep Association Metric 21 Mar 2017 derek285/yolov4_deep_sort_pytorch/deep_sort/sort/preprocessing.py e8fe9fcc53566f61 unverified MIT (permissive)
YOLO9000: Better, Faster, Stronger 25 Dec 2016 apacha/musicobjectdetector-tf/MusicObjectDetector/merge_detection_results_from_cropped_images.py 90d8d1632f180839 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Xception: Deep Learning with Depthwise Separable Convolutions 7 Oct 2016 amogh7joshi/engagement-detection/util/classifyimgops.py 6d593988bfb15f53 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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