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box_xyxy_to_xywh

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

box_xyxy_to_xywh appears in the code Syntology harvested for 19 papers, as 4 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 1 of the code bodies carries 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 box_xyxy_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 1 of the 4 distinct code bodies named box_xyxy_to_xywh; 3 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
3unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 19 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

19 papers shown of 19, newest first; 19 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
From Specialist to Generalist: Unlocking Sam's Learning Potential on Unlabeled Medical Images added by Syntology 2026-01 (from id) vnlvi2k3/SC-SAM/Model/sam/utils/amg.py 7069d6e0ba7c409e unverified no licence file found · pointer only
MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation 23 Jan 2025 rongfu-dsb/MPG-SAM2/models/sam2/utils/amg.py ca78fd1ad096a766 unverified Apache-2.0 (permissive)
Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking 20 Dec 2024 nju-pcalab/sttrack/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted MIT (permissive)
MambaEVT: Event Stream based Visual Object Tracking using State Space Model 20 Aug 2024 event-ahu/mambaevt/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted MIT (permissive)
SAM 2: Segment Anything in Images and Videos 1 Aug 2024 louisfinner/him2sam/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted Apache-2.0 (permissive)
Mamba-FETrack: Frame-Event Tracking via State Space Model 28 Apr 2024 event-ahu/mamba_fetrack/Mamba_FETrack/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted no licence file found · pointer only
Unsegment Anything by Simulating Deformation 3 Apr 2024 jiahaolu97/anything-unsegmentable/segment_anything/utils/amg.py 7069d6e0ba7c409e unverified no licence file found · pointer only
SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation 29 Nov 2023 GAP-LAB-CUHK-SZ/SAMPro3D/utils/sam_utils.py 7069d6e0ba7c409e unverified Apache-2.0 (permissive)
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline 26 Sep 2023 event-ahu/coesot/CEUTrack/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted no licence file found · pointer only
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting 13 Sep 2023 xianlin7/samus/models/segment_anything_samus/utils/amg.py 7069d6e0ba7c409e unverified MIT (permissive)
CiteTracker: Correlating Image and Text for Visual Tracking 22 Aug 2023 NorahGreen/CiteTracker/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted no licence file found · pointer only
Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation 15 Aug 2023 peteryyzhang/few-shot-self-prompt-sam/segment_anything/utils/amg.py 7069d6e0ba7c409e unverified no licence file found · pointer only
Less is More: Focus Attention for Efficient DETR 24 Jul 2023 linxid/Focus-DETR/models/focus_detr/box_ops.py c7dc3cdd056cc5f7 unverified Apache-2.0 (permissive)
MixFormerV2: Efficient Fully Transformer Tracking 25 May 2023 mcg-nju/mixformerv2/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted MIT (permissive)
Segment Any Anomaly without Training via Hybrid Prompt Regularization 18 May 2023 caoyunkang/segment-any-anomaly/SAM/segment_anything/utils/amg.py 7069d6e0ba7c409e unverified MIT (permissive)
End-to-End Object Detection with Transformers 26 May 2020 LKLQQ/detr/src/box_ops.py c7dc3cdd056cc5f7 unverified Apache-2.0 (permissive)
ATOM: Accurate Tracking by Overlap Maximization 19 Nov 2018 xuefeng-zhu5/cdaat/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted MIT (permissive)
arXiv:Yuan_CAT_A_Unified_Click-and-Track_Framework_for_Realistic_Tracking_ICCV_2025_paper ysyuann/CAT/lib/utils/box_ops.py b48a27604b9574e0 ran fingerprinted MIT (permissive)
arXiv:Deng_MemSAM_Taming_Segment_Anything_Model_for_Echocardiography_Video_Segmentation_CVPR_2024_paper dengxl0520/MemSAM/models/segment_anything_memsam/utils/amg.py 7069d6e0ba7c409e 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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