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euclidean_dist

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

euclidean_dist appears in the code Syntology harvested for 69 papers, as 33 distinct code bodies found in 78 places (a place is one code body under one paper). At least one of them ran in 41 of the papers; 17 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 euclidean_dist 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 17 of the 33 distinct code bodies named euclidean_dist; 16 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
10ran · our draft was wrong
1ran · fixture could not drive it
5ran
16unverified
17fingerprinted

Licence is a property of each copy, so it is counted per place: 25 of the 78 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

69 papers shown of 69, newest first; 78 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; 9 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
Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Network added by Syntology 2026-02 (from id) lin-lcx/H2-MIL/code/IHPool.py 261a67397af29d5f unverified no licence file found · pointer only
MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification added by Syntology 2025-10 (from id) stone96123/MDReID/layers/triplet_loss.py 5315f75bf5367f0a unverified no licence file found · pointer only
arXiv:2507.01884 2025-07 (from id) zhoujiahuan1991/ICCV2025-SPRED/reid/loss/loss_uncertrainty.py 5315f75bf5367f0a unverified no licence file found · pointer only
Improving Deep Regression with Tightness 13 Feb 2025 needylove/regression_tightness/ICLR25_OT.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted no licence file found · pointer only
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport 10 Jan 2025 keaml-jlu/star/validation_concatenation.py e6b8d0989a823d58 unverified MIT (permissive)
DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification 14 Dec 2024 924973292/demo/layers/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
Generalizable Person Re-identification via Balancing Alignment and Uniformity 18 Nov 2024 yoonkicho/BAU/bau/loss/triplet.py c78a1ab3340ee330 unverified MIT (permissive)
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection 31 Oct 2024 ChelsieLei/EZ-HOI/upt_tip_cache_model_free_finetune_distillself.py f14ab27aa56f5da9 unverified no licence file found · pointer only
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier 29 Oct 2024 pm25/semi-supervised-regression/semilearn/algorithms/clss/ordinal_entropy.py 0c3edba26968ef75 unverified MIT (permissive)
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting 24 Jun 2024 tinkez/fap_cdfsc/methods/protonet.py 4dd319c45d372246 ran · our draft was wrong fingerprinted no licence file found · pointer only
Certification of Speaker Recognition Models to Additive Perturbations 29 Apr 2024 airi-institute/asi-certification/smooth.py 4b1163fb3d76842f ran fingerprinted MIT (permissive)
Deep Regression Representation Learning with Topology 22 Apr 2024 needylove/PH-Reg/ordinal_entropy.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted no licence file found · pointer only
AnyPattern: Towards In-context Image Copy Detection 21 Apr 2024 wangwenhao0716/anypattern/Train/dg/loss/triplet.py e54804982d1e6d22 ran · our draft was wrong fingerprinted MIT (permissive)
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image Segmentation 3 Apr 2024 shashankhuang/reclmis/nets/until_module.py e54804982d1e6d22 ran · our draft was wrong fingerprinted no licence file found · pointer only
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification 15 Mar 2024 924973292/EDITOR/layers/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
Interactive Continual Learning: Fast and Slow Thinking 5 Mar 2024 biqing-qi/interactive-continual-learning-fast-and-slow-thinking/losses/BatchAll.py 465bb853177b15e9 ran fingerprinted no licence file found · pointer only
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning 1 Mar 2024 zoilsen/flor/methods/protonet.py 4dd319c45d372246 ran · our draft was wrong fingerprinted no licence file found · pointer only
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection 6 Jan 2024 yuanpengtu/LSFA/Adaptation/fusion_pretrain.py 41eb6f5057605491 ran fingerprinted no licence file found · pointer only
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification 15 Dec 2023 asuradayuci/tf-clip/loss/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation 15 Dec 2023 924973292/top-reid/layers/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques 15 Nov 2023 romain3ch216/tlsehypdataset/TlseHypDataSet/utils/coreset.py 5f30e2cda924efc9 ran fingerprinted licence not identified · pointer only
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach 29 Oct 2023 Akirato/HGRAM/baseline/meta.py 2dcb26c7499d25d6 ran fingerprinted no licence file found · pointer only
On the Role of Neural Collapse in Meta Learning Models for Few-shot Learning 30 Sep 2023 saakethmm/nc-prototypical-networks/protonets/models/utils.py 4dd319c45d372246 ran · our draft was wrong fingerprinted MIT (permissive)
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis 14 Sep 2023 hku-medai/higt/modules/IHPool.py 261a67397af29d5f unverified no licence file found · pointer only
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification 24 Jun 2023 raywang335/l2rclip/loss/ordinal_ce.py 426c97121a63bbb6 ran · our draft was wrong fingerprinted MIT (permissive)
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification 24 Jun 2023 raywang335/L2RCLIP/loss/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation 19 Jun 2023 heshuting555/PADing/PADing/PADing_model.py d6c68ae208e9e720 unverified MIT (permissive)
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment 20 May 2023 jpthu17/DiCoSA/tvr/models/until_module.py e54804982d1e6d22 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks 17 May 2023 lmsdss/MetaModulation/utils.py 4dd319c45d372246 ran · our draft was wrong fingerprinted MIT (permissive)
What Makes for Effective Few-shot Point Cloud Classification? 31 Mar 2023 identical code first harvested elsewhere 4dd319c45d372246 ran · our draft was wrong fingerprinted licence of this copy not recorded
DC-Former: Diverse and Compact Transformer for Person Re-Identification 28 Feb 2023 ant-research/Diverse-and-Compact-Transformer/loss/dissimilar_loss.py 179ed4238c4ffe31 unverified MIT (permissive)
Improving Deep Regression with Ordinal Entropy 21 Jan 2023 needylove/ordinalentropy/OrdinalEntropy.py e0e5458257e1f903 ran · our draft was wrong fingerprinted no licence file found · pointer only
Improving Deep Regression with Ordinal Entropy 21 Jan 2023 identical code first harvested elsewhere c83d9f7fca950b77 ran · our draft was wrong fingerprinted licence of this copy not recorded
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach 5 Feb 2022 horsepurve/deepvoro/methods/protonet.py 4dd319c45d372246 ran · our draft was wrong fingerprinted MIT (permissive)
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty 1 Feb 2022 sungnyun/cd-fsl/methods/protonet.py 4dd319c45d372246 ran · our draft was wrong fingerprinted MIT (permissive)
Hot-Refresh Model Upgrades with Regression-Alleviating Compatible Training in Image Retrieval 24 Jan 2022 binjiezhang/RACT_ICLR2022/model/loss.py 06851d0b47833458 ran · our draft was wrong fingerprinted licence not identified · pointer only
Self-Supervised Pre-Training for Transformer-Based Person Re-Identification 23 Nov 2021 damo-cv/TransReID-SSL/transreid_pytorch/loss/triplet_loss.py 5315f75bf5367f0a unverified MIT recorded; this copy not marked cleared · pointer only
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee 26 Oct 2021 flint-xf-fan/Byzantine-Federeated-RL/codes/agent.py b8e29986f47b118e ran · our draft was wrong fingerprinted no licence file found · pointer only
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee 26 Oct 2021 anoxia-1/Fault-Tolerant-Federated-Reinforcement-Learning-with-Theoretical-Guarantee-/agent.py 5b618196e0cf5c21 ran · our draft was wrong fingerprinted no licence file found · pointer only
Mix3D: Out-of-Context Data Augmentation for 3D Scenes 5 Oct 2021 tejasanvekar/gpr-net/model/ProtoNet.py fb8dd7b7cd7ed9dd unverified MIT (permissive)
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation 13 Sep 2021 cdtrans/cdtrans/loss/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
OODformer: Out-Of-Distribution Detection Transformer 19 Jul 2021 rajatkoner08/oodformer/OOD_Distance.py 57bbb1c2ae467a4f ran · honoured contract fingerprinted no licence file found · pointer only
An Empirical Study of Vehicle Re-Identification on the AI City Challenge 20 May 2021 michuanhaohao/AICITY2021_Track2_DMT/loss/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
Graph-based Person Signature for Person Re-Identifications 14 Apr 2021 aioz-ai/CVPRW21_GPS/layers/triplet_loss.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted MIT (permissive)
How Well Do Self-Supervised Models Transfer? 26 Nov 2020 linusericsson/ssl-transfer/few_shot.py 4dd319c45d372246 ran · our draft was wrong fingerprinted MIT (permissive)
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition 20 Oct 2020 lovelyqian/AMeFu-Net/classifier_with_loss.py 4dd319c45d372246 ran · our draft was wrong fingerprinted MIT (permissive)
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians 16 Aug 2020 X-BrainLab/PI-ReID/layers/triplet_loss.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted MIT (permissive)
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians 16 Aug 2020 X-BrainLab/PI-ReID/engine/trainer.py bbf818e806d45b12 unverified MIT (permissive)
Identity-Guided Human Semantic Parsing for Person Re-Identification 27 Jul 2020 CASIA-IVA-Lab/ISP-reID/layers/triplet_loss.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond 11 Jun 2020 WangWenhao0716/Attentive-WaveBlock/awb/loss/triplet.py e54804982d1e6d22 ran · our draft was wrong fingerprinted MIT (permissive)
Too many cooks: Bayesian inference for coordinating multi-agent collaboration 26 Mar 2020 rosewang2008/gym-cooking/gym_cooking/navigation_planner/utils.py eec0f58f2d01d720 unverified MIT (permissive)
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning 5 Mar 2020 puneesh00/loop/loss/embedding_aug_mx.py 63190af7829635b2 unverified MIT (permissive)
A Simple Framework for Contrastive Learning of Visual Representations 13 Feb 2020 identical code first harvested elsewhere 57bbb1c2ae467a4f ran · honoured contract fingerprinted licence of this copy not recorded
Deep Learning for Person Re-identification: A Survey and Outlook 13 Jan 2020 zion-king/Deep-Learning-for-Person-Re-identification/modeling/layer/triplet_loss.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted MIT (permissive)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification 6 Jan 2020 yxgeee/mmt/mmt/loss/triplet.py cea0110f146a2f16 ran · fixture could not drive it fingerprinted MIT (permissive)
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification 6 Jan 2020 yxgeee/MMT/mmt/loss/triplet.py e54804982d1e6d22 ran · our draft was wrong fingerprinted MIT (permissive)
A Broader Study of Cross-Domain Few-Shot Learning 16 Dec 2019 IBM/cdfsl-benchmark/methods/protonet.py 4dd319c45d372246 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Regression Networks for Meta-Learning Few-Shot Classification 31 May 2019 ArnoutDevos/RegressionNet/methods/protonet.py 4dd319c45d372246 ran · our draft was wrong fingerprinted MIT (permissive)
Regression Networks for Meta-Learning Few-Shot Classification 31 May 2019 ArnoutDevos/RegressionNet/methods/regressionnet.py f384eef54c9d7670 unverified MIT (permissive)
Joint Discriminative and Generative Learning for Person Re-identification 15 Apr 2019 ivychill/reid/loss.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted MIT (permissive)
Relation-Aware Global Attention for Person Re-identification 5 Apr 2019 microsoft/Relation-Aware-Global-Attention-Networks/reid/loss/loss_set.py be97fdf67a958e5d unverified MIT (permissive)
Bag of Tricks and A Strong Baseline for Deep Person Re-identification 17 Mar 2019 lulujianjie/person-reid-tiny-baseline/loss/triplet_loss.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted MIT (permissive)
Deep High-Resolution Representation Learning for Human Pose Estimation 25 Feb 2019 Vill-Lab/2022-TIP-HCGA/layers/triplet_loss.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted MIT (permissive)
Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time 22 Feb 2019 gabrielhuang/centroid-networks/protonets/models/utils.py 4dd319c45d372246 ran · our draft was wrong fingerprinted MIT (permissive)
Learning Discriminative Features with Multiple Granularities for Person Re-Identification 4 Apr 2018 WangTaoAs/MGN_ReID/loss/triplet_loss.py 5315f75bf5367f0a unverified Apache-2.0 (permissive)
Prototypical Networks for Few-shot Learning 15 Mar 2017 identical code first harvested elsewhere 4dd319c45d372246 ran · our draft was wrong fingerprinted licence of this copy not recorded
Prototypical Networks for Few-shot Learning 15 Mar 2017 joshfp/one-shot-learning/model.py 0d9f00b53a9558f8 ran · our draft was wrong fingerprinted no licence file found · pointer only
Prototypical Networks for Few-shot Learning 15 Mar 2017 maxstrobel/HCN-PrototypeLoss-PyTorch/processor/processor_protonet.py 7ad5cda37c731a0a ran · our draft was wrong fingerprinted MIT (permissive)
Prototypical Networks for Few-shot Learning 15 Mar 2017 jsalbert/prototypical-networks/utils.py e439ae68f44dd2f2 unverified MIT (permissive)
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking 6 Sep 2016 hh23333/tsd/loss/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
arXiv:aaai_32878 924973292/DeMo/layers/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
arXiv:aaai_28398 ziwang1121/HTT/loss/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
arXiv:aaai_25225 Syliz517/CLIP-ReID/loss/triplet_loss.py 5315f75bf5367f0a unverified MIT (permissive)
arXiv:aaai_19970 LunarShen/SECRET/secret/loss/triplet.py 61b46fd9c6762950 unverified MIT (permissive)
arXiv:Zhou_Revisiting_Prototypical_Network_for_Cross_Domain_Few-Shot_Learning_CVPR_2023_paper NWPUZhoufei/LDP-Net/ProtoNet.py 4dd319c45d372246 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
arXiv:Xu_Distribution-aware_Knowledge_Prototyping_for_Non-exemplar_Lifelong_Person_Re-identification_CVPR_2024_paper zhoujiahuan1991/CVPR2024-DKP/reid/loss/loss_uncertrainty.py 5315f75bf5367f0a unverified MIT (permissive)
arXiv:Cao_Event-Guided_Person_Re-Identification_via_Sparse-Dense_Complementary_Learning_CVPR_2023_paper Chengzhi-Cao/SDCL/losses.py c83d9f7fca950b77 ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:2020.emnlp-demos.29 thunlp/isobs/source/PrototypicalLoss.py 4b1163fb3d76842f ran fingerprinted 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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