convert_to_xywh
convert_to_xywh appears in the code Syntology harvested for 26 papers, as 3 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 26 of the papers; 3 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 convert_to_xywh 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 3 of the 3 distinct code bodies named convert_to_xywh; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:
Licence is a property of each copy, so it is counted per place: 8 of the 27 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
26 papers shown of 26, newest first; 27 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; 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.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection | 21 Jun 2024 | jason-lim26/DiPEx/Open-GroundingDino/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection | 5 Jun 2024 | atten4vis/lw-detr/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection | 5 Jun 2024 | atten4vis/lw-detr/deploy/benchmark.py 0cf40c7d0cb18b12 |
ran fingerprinted | Apache-2.0 (permissive) |
| OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision | 28 May 2024 | xiaomoguhz/ov-dquo/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| EGTR: Extracting Graph from Transformer for Scene Graph Generation | 2 Apr 2024 | naver-ai/egtr/lib/evaluation/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| ClusterTabNet: Supervised clustering method for table detection and table structure recognition | 12 Feb 2024 | sap-samples/clustertabnet/train/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks | 25 Jan 2024 | idea-research/groundingdino/groundingdino/datasets/cocogrounding_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| MS-DETR: Efficient DETR Training with Mixed Supervision | 8 Jan 2024 | atten4vis/ms-detr/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| Neural Interactive Keypoint Detection | 20 Aug 2023 | idea-research/click-pose/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | no licence file found · pointer only |
| Described Object Detection: Liberating Object Detection with Flexible Expressions | 24 Jul 2023 | shikras/d-cube/scripts/eval_and_analysis_json.py d953ab774e3aaae0 |
ran · violated contract fingerprinted | licence not identified · pointer only |
| Contextual Object Detection with Multimodal Large Language Models | 29 May 2023 | yuhangzang/contextdet/evaluation/Eval/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | licence not identified · pointer only |
| Teach-DETR: Better Training DETR with Teachers | 22 Nov 2022 | leonhlj/teach-detr/H-Deformable-DETR/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | MIT (permissive) |
| DETRs with Hybrid Matching | 26 Jul 2022 | HDETR/H-Deformable-DETR/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | MIT (permissive) |
| DeVIS: Making Deformable Transformers Work for Video Instance Segmentation | 22 Jul 2022 | acaelles97/devis/src/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 recorded; this copy not marked cleared · pointer only |
| ClearPose: Large-scale Transparent Object Dataset and Benchmark | 8 Mar 2022 | opipari/ClearPose/clearpose/xu_6dof/networks/references/detection/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | MIT (permissive) |
| UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling | 23 Nov 2021 | microsoft/UniTAB/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | MIT (permissive) |
| Pix2seq: A Language Modeling Framework for Object Detection | 22 Sep 2021 | gaopengcuhk/Unofficial-Pix2Seq/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 recorded; this copy not marked cleared · pointer only |
| Conditional DETR for Fast Training Convergence | 13 Aug 2021 | atten4vis/conditionaldetr/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection | 1 Jun 2021 | hustvl/YOLOS/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | MIT (permissive) |
| End-to-End Trainable Multi-Instance Pose Estimation with Transformers | 22 Mar 2021 | amathislab/poet/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) |
| Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation | 22 Mar 2021 | ZhangGongjie/Meta-DETR/datasets/eval_detection.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | MIT (permissive) |
| Deformable DETR: Deformable Transformers for End-to-End Object Detection | 8 Oct 2020 | Cedric-Perauer/Deformable_Detr_PIL/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 recorded; this copy not marked cleared · pointer only |
| SSD: Single Shot MultiBox Detector | 8 Dec 2015 | Guillem96/ssd-pytorch/ssd/coco/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | MIT (permissive) |
| arXiv:ijcai2024_0084 | 116508/CF-Deformable-DETR/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) | |
| arXiv:Zohar_PROB_Probabilistic_Objectness_for_Open_World_Object_Detection_CVPR_2023_paper | orrzohar/PROB/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 (permissive) | |
| arXiv:He_Bidirectional_Alignment_for_Domain_Adaptive_Detection_with_Transformers_ICCV_2023_paper | helq2612/biADT/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 recorded; this copy not marked cleared · pointer only | |
| arXiv:Chen_Recurrent_Glimpse-Based_Decoder_for_Detection_With_Transformer_CVPR_2022_paper | zhechen/Deformable-DETR-REGO/datasets/coco_eval.py f31a58bf6457ced5 |
ran · honoured contract fingerprinted | Apache-2.0 recorded; this copy not marked cleared · pointer only |
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".
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections