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dice_coeff

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

dice_coeff appears in the code Syntology harvested for 14 papers, as 14 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 7 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 dice_coeff 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 8 of the 14 distinct code bodies named dice_coeff; 6 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
1ran · fixture could not drive it
7ran
6unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 16 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

14 papers shown of 14, newest first; 16 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 2 papers added by Syntology; 1 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
Secure-by-Disguise: A Systematic Evaluation of Image Disguising for Confidential Medical Image Modeling added by Syntology 2026-07 (from id) Jasonmix84/Secure-By-Disguise/segmentation/neura-seg.py f23b0be3358f867a ran fingerprinted no licence file found · pointer only
Secure-by-Disguise: A Systematic Evaluation of Image Disguising for Confidential Medical Image Modeling added by Syntology 2026-07 (from id) Jasonmix84/Secure-By-Disguise/segmentation/segmentation.py 80eca10a7da3e97d ran fingerprinted no licence file found · pointer only
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights added by Syntology 2025-08 (from id) Gandolfczjh/APDE/defense/SegmentAndComplete/dice_loss.py 532ec84883eb90ab unverified no licence file found · pointer only
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation 9 Apr 2024 aleemsidra/SaLIP/sam_clip_3d.py 4017666e5cd0801f ran MIT (permissive)
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation 9 Apr 2024 aleemsidra/SaLIP/utils/utils.py ce54a742919b8034 ran MIT (permissive)
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis 27 Feb 2024 tangtaogo/alignmif/lidarnvs/unet.py c1cb6e3e76067a5d ran MIT (permissive)
FreeKD: Knowledge Distillation via Semantic Frequency Prompt 20 Nov 2023 Gumpest/FreeKD/mmrazor/models/losses/freekd.py c68dbfb2bb62292b ran fingerprinted Apache-2.0 (permissive)
Exploring Counterfactual Alignment Loss towards Human-centered AI 3 Oct 2023 lmz123321/Causal_alignment/DDSM/loss/loss.py a0121e0634223a88 ran no licence file found · pointer only
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields 20 Apr 2023 tangtaogo/lidar-nerf/lidarnvs/unet.py c1cb6e3e76067a5d ran MIT (permissive)
Masked Distillation with Receptive Tokens 29 May 2022 hunto/MasKD/mmdetection/maskd.py 139f348500d8d227 ran · fixture could not drive it fingerprinted Apache-2.0 (permissive)
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021 6 Dec 2021 multimodallearning/convexadam/l2r_2021_convexAdam_task3_docker.py d1e1ea70000372c4 unverified Apache-2.0 (permissive)
Free-form tumor synthesis in computed tomography images via richer generative adversarial network 20 Apr 2021 qgking/FRGAN/module/Critierion.py 532ec84883eb90ab unverified MIT (permissive)
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation 25 Feb 2019 kim-younghan/FEELVOS/feelvos/metric.py 9f650f21e76de396 unverified MIT (permissive)
Weakly-Supervised Action Segmentation with Iterative Soft Boundary Assignment 28 Mar 2018 ld-ing/TCFPN-ISBA/utils/weak_model.py 05d3a1ae264e9961 unverified MIT (permissive)
Towards End-to-End Lane Detection: an Instance Segmentation Approach 15 Feb 2018 IrohXu/lanenet-lane-detection-pytorch/model/eval_function.py 8a2af0442a27e321 unverified MIT (permissive)
arXiv:Chen_Each_Test_Image_Deserves_A_Specific_Prompt_Continual_Test-Time_Adaptation_CVPR_2024_paper Chen-Ziyang/VPTTA/OPTIC/config.py 65dbba5028014d9d 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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