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get_backbone

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

get_backbone appears in the code Syntology harvested for 28 papers, as 28 distinct code bodies found in 29 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 0 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 get_backbone 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 7 of the 28 distinct code bodies named get_backbone; 21 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
6ran
21unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 29 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

28 papers shown of 28, newest first; 29 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 4 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
GenTS: A Comprehensive Benchmark Library for Generative Time Series Models added by Syntology 2026-05 (from id) WillWang1113/GenTS/gents/common/_modules.py 14f6cec82f8ff63e ran MIT (permissive)
One Adapter for All: Towards Unified Representation in Step-Imbalanced Class-Incremental Learning added by Syntology 2026-03 (from id) xiaoyanzhang1/One-A/models/onea.py 7f0e5ee3d0b40ec1 ran MIT (permissive)
Advancing Analytic Class-Incremental Learning through Vision-Language Calibration added by Syntology 2026-02 (from id) byzhaoAI/VILA/utils/VILA.py 9c5c89a338915d7c unverified MIT (permissive)
AI-Based Detection of Temporal Changes in MR-Linac Images Acquired During Routine Prostate Radiotherapy added by Syntology 2026-02 (from id) heejong-kim/LILAC/model.py fe689be8c52a479b unverified Apache-2.0 (permissive)
ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models 20 May 2025 gtzheng/ShortcutProbe/algorithms/shortcut_probe.py 3db8286f1e2584d6 unverified no licence file found · pointer only
MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning 12 Dec 2024 sun-hailong/aaai25-mos/utils/inc_net.py 1228159f65c11926 unverified no licence file found · pointer only
MVC-VPR: Mutual Learning of Viewpoint Classification and Visual Place Recognition 12 Dec 2024 Gucci233/MutualVPR/cosplace_model/cosplace_network.py 98e6824b3bb0eef9 unverified no licence file found · pointer only
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning 1 Oct 2024 liangzu/loranpac/models/ranpac.py b37a6681e485f592 unverified no licence file found · pointer only
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning 11 Sep 2024 vita-qzh/apart/utils/inc_net.py c76f0fe93ec16368 ran MIT (permissive)
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers 9 Apr 2024 dipamgoswami/fscil-calibration/utils/inc_net.py cebcd10bc5d204d3 unverified MIT (permissive)
Learning Equi-angular Representations for Online Continual Learning 2 Apr 2024 yonseivnl/earl/models.py 81ca8966e95ba3f1 ran no licence file found · pointer only
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models 28 Mar 2024 srvCodes/clap4clip/utils/inc_net.py 4e91c54386b18d34 unverified no licence file found · pointer only
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning 18 Mar 2024 sun-hailong/cvpr24-ease/models/ease.py 057817d8d2c5fdf4 unverified no licence file found · pointer only
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models 13 Dec 2023 ky-ah/layup/src/backbone/general.py 892e324f237b4d5d unverified MIT (permissive)
Modulate Your Spectrum in Self-Supervised Learning 26 May 2023 winci-ai/intl/methods/intl.py 305fc0beef959cfc unverified no licence file found · pointer only
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision 21 Mar 2023 marialeyvallina/generalized_contrastive_loss/src/factory.py 5572e0bfa73789d7 unverified MIT (permissive)
Debiasing Vision-Language Models via Biased Prompts 31 Jan 2023 chingyaoc/debias_vl/discriminative/clip/model.py 1beef3eb483e1be4 unverified MIT (permissive)
Domain-invariant Feature Exploration for Domain Generalization 25 Jul 2022 jindongwang/transferlearning/code/DeepDA/backbones.py 46b83ab54c34fbc1 unverified MIT (permissive)
Rethinking Visual Geo-localization for Large-Scale Applications 5 Apr 2022 gmberton/CosPlace/cosplace_model/cosplace_network.py 1522a0277165c6be unverified MIT (permissive)
Unsupervised Semantic Segmentation by Distilling Feature Correspondences 16 Mar 2022 leggedrobotics/self_supervised_segmentation/stego/backbones/backbone.py dbcfa76b17fae535 unverified MIT (permissive)
Neural Manifold Clustering and Embedding 24 Jan 2022 zengyi-li/nmce-release/NMCE/architectures/models.py e9ae022c7b3d7cfd unverified MIT (permissive)
OmniPrint: A Configurable Printed Character Synthesizer 17 Jan 2022 SunHaozhe/transferlearning/code/DeepDA/backbones.py 46b83ab54c34fbc1 unverified MIT (permissive)
Hand Image Understanding via Deep Multi-Task Learning 24 Jul 2021 MandyMo/HIU-DMTL/hand_detection/model/model.py c72842844140634a ran MIT (permissive)
SMD-Nets: Stereo Mixture Density Networks 8 Apr 2021 fabiotosi92/SMD-Nets/lib/model/SMDHead.py 23b44af6dc3ed7f3 unverified MIT (permissive)
Barlow Twins: Self-Supervised Learning via Redundancy Reduction 4 Mar 2021 jeffwiroj/robust_tutorial/bt_exp/barlow_twin/bt.py 72c346ee974adb6e ran no licence file found · pointer only
Exploring Simple Siamese Representation Learning 20 Nov 2020 nikheelpandey/SimSiam-PyTorch/model.py baecb6445a98aac2 ran · our draft was wrong Apache-2.0 (permissive)
Exploring Simple Siamese Representation Learning 20 Nov 2020 ahmdtaha/simsiam/models/simsiam.py 1a35ab02b0214a3a unverified no licence file found · pointer only
Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection 22 Oct 2020 lucastabelini/LaneATT/lib/models/laneatt.py e6a5f2d61cfa43e6 unverified MIT (permissive)
arXiv:Lu_FedHCA2_Towards_Hetero-Client_Federated_Multi-Task_Learning_CVPR_2024_paper innovator-zero/FedHCA2/models/build_models.py 6cdc697b464fa645 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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