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dice_coefficient

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

dice_coefficient appears in the code Syntology harvested for 17 papers, as 20 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 8 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_coefficient 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 20 distinct code bodies named dice_coefficient; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
3ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
5ran
10unverified
8fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 21 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

17 papers shown of 17, newest first; 21 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; 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
WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation 24 May 2025 MRUIL/WeakMCN/models/weakmcn/net.py dbd6ffe2babb099d ran · our draft was wrong fingerprinted no licence file found · pointer only
PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images 20 Sep 2024 lans1ng/pointsam/utils/losses.py 3d76242f638044b7 ran fingerprinted MIT (permissive)
WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation 22 Aug 2024 misahub2023/benchmarking-codes-of-the-wcebleedgen-dataset/metrics_segment.py f4f7e1bd351f3ff6 ran no licence file found · pointer only
Conformal Performance Range Prediction for Segmentation Output Quality Control 18 Jul 2024 annawundram/PerformanceRangePrediction/PerformancePrediction.py 951c1e7e4145f7d5 ran · violated contract fingerprinted no licence file found · pointer only
TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation 13 Jul 2024 LittlePey/TASeg/pcseg/loss/ell_loss.py 994d01fd9a5b57bf ran Apache-2.0 (permissive)
ControlVAR: Exploring Controllable Visual Autoregressive Modeling 14 Jun 2024 lxa9867/ControlVAR/losses/dice.py 42d03794aad024c8 ran fingerprinted no licence file found · pointer only
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 11 May 2024 sldgroup/emcad/train_polyp.py b0f51daf2afa7ccb ran fingerprinted licence not identified · pointer only
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase 11 Sep 2023 PJLab-ADG/PCSeg/pcseg/loss/ell_loss.py 994d01fd9a5b57bf ran no licence file found · pointer only
Segment Anything in Medical Images 24 Apr 2023 yuhoo0302/segment-anything-model-for-medical-images/train_only_box.py 98f85b51aaf3c040 ran · our draft was wrong fingerprinted no licence file found · pointer only
Segment Anything in Medical Images 24 Apr 2023 yuhoo0302/segment-anything-model-for-medical-images/test_only_box.py c4ecf5b56b1a1f02 ran · violated contract fingerprinted no licence file found · pointer only
Segment Anything in Medical Images 24 Apr 2023 bowang-lab/medsam/comparisons/nnU-Net/infer_nnunet_2D.py 0793e0bfc7283cba unverified Apache-2.0 (permissive)
DiffusionInst: Diffusion Model for Instance Segmentation 6 Dec 2022 alipay/diffusion-model-for-instance-segmentation/diffusioninst/loss.py 250948d3a9b051a5 unverified Apache-2.0 (permissive)
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter 22 Jul 2022 VinAIResearch/GeoFormer/criterion.py f158264afecebf8a unverified BSD-3-Clause (permissive)
Towards Grand Unification of Object Tracking 14 Jul 2022 MasterBin-IIAU/Unicorn/unicorn/models/unicorn.py ac6d50c75c2fe223 ran · violated contract fingerprinted MIT (permissive)
The Medical Segmentation Decathlon 10 Jun 2021 tamerthamoqa/3D-mri-brain-tumour-image-segmentation-medical-decathlon-tensorflow/segmentation_losses.py 55c491331fb03c16 unverified MIT (permissive)
3D MRI brain tumor segmentation using autoencoder regularization 27 Oct 2018 IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization/model.py 6a5185ae3fdd240f unverified MIT (permissive)
3D MRI brain tumor segmentation using autoencoder regularization 27 Oct 2018 trungnhanuchiha/VAE_BRATS2018/model.py 7275b02a0780e854 unverified MIT (permissive)
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 15 Jun 2016 alexbmp/run-vnet-keras/utils.py 4424b776451228fd unverified Apache-2.0 (permissive)
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation 15 Jun 2016 chakerouari/UNET_segmetation/dice_loss.py 0d9114af7594414b unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 ajaystar8/PDRUNet-PyTorch/metrics.py dfc161b8a231d41f unverified MIT (permissive)
arXiv:aaai_28394 iam-nacl/DTMFormer/utils/metrics.py 456cc33b9d71d233 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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