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get_transforms

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

get_transforms appears in the code Syntology harvested for 40 papers, as 42 distinct code bodies found in 44 places (a place is one code body under one paper). At least one of them ran in 17 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_transforms 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 18 of the 42 distinct code bodies named get_transforms; 24 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
16ran
24unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 44 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

40 papers shown of 40, newest first; 44 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 3 papers added by Syntology; 4 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
A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios added by Syntology 2026-09 (from id) UFPR-IPASP-PR/uvib-vehicle-attributes/src/dataset_utils.py e6f4d89d8306d6c6 unverified no licence file found · pointer only
Geometry-Anchored Transport Framework for Exemplar-Free Class-Incremental Learning added by Syntology 2026-06 (from id) HXuSz11/GATF_ECCV2026/src/datasets/data_loader.py 79e9d510b36aaafb ran no licence file found · pointer only
Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening added by Syntology 2026-05 (from id) Durjoy001/Retinal-NeuralNET/src/train_cnn.py c107b9b21054d659 ran MIT (permissive)
Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening added by Syntology 2026-05 (from id) Durjoy001/Retinal-NeuralNET/misc/train_cnn_final.py 839ba542f6d0ce23 ran MIT (permissive)
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution 3 Mar 2025 zirui0625/difiisr/sampler.py 48fe00f2c0d5d956 ran MIT (permissive)
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation 26 Nov 2024 bwittmann/vesselFM/vesselfm/d_flow/data.py 14b898bf30a4d1e1 unverified GPL-3.0 (copyleft) · pointer only
Revisiting Deep Feature Reconstruction for Logical and Structural Industrial Anomaly Detection 21 Oct 2024 sukanyapatra1997/ulsad-2024/anomalib/pre_processing/pre_process.py 36ed981842aa4e86 unverified no licence file found · pointer only
Test-time Adaptation for Regression by Subspace Alignment 4 Oct 2024 kzkadc/regression-tta/dataset/raw_datasets.py 45f69e701fd13bcd ran licence not identified · pointer only
Game4Loc: A UAV Geo-Localization Benchmark from Game Data 25 Sep 2024 Yux1angJi/GTA-UAV/Game4Loc/game4loc/dataset/gta.py f50ce26b4f651f09 ran Apache-2.0 (permissive)
Game4Loc: A UAV Geo-Localization Benchmark from Game Data 25 Sep 2024 Yux1angJi/GTA-UAV/Game4Loc/game4loc/dataset/gta_rgbd.py b68371e8ced39ca5 ran Apache-2.0 (permissive)
Game4Loc: A UAV Geo-Localization Benchmark from Game Data 25 Sep 2024 Yux1angJi/GTA-UAV/Game4Loc/game4loc/dataset/gta_mm.py 4b4a7eacffe29507 unverified Apache-2.0 (permissive)
ZeroPur: Succinct Training-Free Adversarial Purification 5 Jun 2024 erhul/ZeroPur/utils.py f01fff0fc0c2503d ran no licence file found · pointer only
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 VITA-Group/DeblurGANv2/aug.py d0f818fa0b61082c ran licence not identified · pointer only
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 pp00704831/Stripformer-ECCV-2022-/aug.py fca6d857d5c36155 unverified licence not identified · pointer only
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization 10 May 2024 SSDUT-Caiyq/UFG-NCD/FineGrained/augmentations/resnet_transform.py 3a66d453e02b481a ran no licence file found · pointer only
Finding Visual Saliency in Continuous Spike Stream 10 Mar 2024 BIT-Vision/SVS/datasets/transforms.py 7424d53e0ec86e0a unverified no licence file found · pointer only
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise 22 Nov 2023 liuyixin-louis/stable-unlearnable-example/utils/imagenet_utils.py 157dabb465e2d301 ran licence not identified · pointer only
Two Complementary Perspectives to Continual Learning: Ask Not Only What to Optimize, But Also How 8 Nov 2023 timmhess/twocomplementaryperspectivescl/helper.py c3dd6c1f097353b6 ran MIT (permissive)
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly 2 Nov 2023 qizhangli/TA-Bench/utils.py 4397ee07b3071d33 ran no licence file found · pointer only
Image Clustering with External Guidance 18 Oct 2023 xlearning-scu/2024-icml-tac/data_utils.py 3e9f33a6f3e0f2c5 ran no licence file found · pointer only
Optimizing PatchCore for Few/many-shot Anomaly Detection 20 Jul 2023 scortexio/patchcore-few-shot/src/anomalib/pre_processing/pre_process.py 36ed981842aa4e86 unverified no licence file found · pointer only
Class-relation Knowledge Distillation for Novel Class Discovery 18 Jul 2023 fanzhichen/ncd-iic/utils/transforms.py 9db4d384e117de7c ran MIT (permissive)
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning 24 Jun 2023 sharut/care/cifar10_cifar100_stl10/dataset.py 42041b30a3a877a3 unverified MIT (permissive)
PILLAR: How to make semi-private learning more effective 6 Jun 2023 FrancescoPinto/PILLAR/utils.py 4c9a5e9c6f6bde28 unverified MIT (permissive)
UDPM: Upsampling Diffusion Probabilistic Models 25 May 2023 shadyabh/udpm/dataset.py d86deacaa8053ef4 unverified MIT (permissive)
Simulated Annealing in Early Layers Leads to Better Generalization 10 Apr 2023 amiiir-sarfi/seal/core.py ae403e09fc2a944f ran · our draft was wrong no licence file found · pointer only
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting 3 Apr 2023 timmhess/kaaff/helper.py bd1906e457add957 unverified MIT (permissive)
Diversity-Aware Meta Visual Prompting 14 Mar 2023 shikiw/DAM-VP/data_utils/transforms.py 6edbfc9b90401b1e unverified MIT (permissive)
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models 26 Oct 2022 kenjiqq/aesthetics-scorer/convnext_scorer/model.py 1c591746911cb868 unverified MIT (permissive)
REGTR: End-to-end Point Cloud Correspondences with Transformers 28 Mar 2022 yewzijian/RegTR/src/data_loaders/modelnet.py e659b44bcc28934a unverified MIT (permissive)
AutoSNN: Towards Energy-Efficient Spiking Neural Networks 30 Jan 2022 nabk89/autosnn/data.py bc0d93e523eb5159 unverified Apache-2.0 (permissive)
MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning 9 Dec 2021 Aleph-Alpha/magma/magma/transforms.py b28f8eba1c7bc3ab ran MIT (permissive)
Active Learning at the ImageNet Scale 25 Nov 2021 zeyademam/active_learning/src/data_utils/custom_cifar10.py e4d9f2d7e4aace4c unverified MIT (permissive)
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash 12 Nov 2021 ml-research/Learning-to-Break-Deep-Perceptual-Hashing/adv3_robustness_check.py bcc42256373b217f unverified MIT (permissive)
Temperature as Uncertainty in Contrastive Learning 8 Oct 2021 mhw32/temperature-as-uncertainty-public/src/datasets/transforms.py 8884e973f04558a2 unverified MIT (permissive)
On the importance of cross-task features for class-incremental learning 22 Jun 2021 AlbinSou/cross_task_cil/src/datasets/data_loader.py 7210d296e5161f2a unverified MIT (permissive)
Identifying Melanoma Images using EfficientNet Ensemble: Winning Solution to the SIIM-ISIC Melanoma Classification Challenge 11 Oct 2020 haqishen/SIIM-ISIC-Melanoma-Classification-1st-Place-Solution/dataset.py 45c5067339b8949f unverified MIT (permissive)
Attention-based Joint Detection of Object and Semantic Part 5 Jul 2020 kevalmorabia97/Object-and-Semantic-Part-Detection-pyTorch/transforms.py 20a68e0aaa941a54 unverified Apache-2.0 (permissive)
Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows 27 May 2020 EmoryMLIP/DOvsOD_NeuralODEs/cnf_python/train_toy.py ce1a392f73da53fb ran · our draft was wrong MIT (permissive)
Searching for Winograd-aware Quantized Networks 25 Feb 2020 jafermarq/WinogradAwareNets/src/winogradUtils.py ea8c6c094defc588 unverified Apache-2.0 (permissive)
arXiv:aaai_28598 zzzzzzzzjy/MMNCD-main/utils/transforms.py 09f96a8e43188c50 unverified MIT (permissive)
arXiv:Xu_Boosting_Image_Quality_Assessment_through_Efficient_Transformer_Adaptation_with_Local_CVPR_2024_paper NeosXu/LoDa/src/dataset/dataloader.py 6277f3931543e38b unverified Apache-2.0 (permissive)
arXiv:Li_Modeling_Inter-Class_and_Intra-Class_Constraints_in_Novel_Class_Discovery_CVPR_2023_paper FanZhichen/NCD-IIC/utils/transforms.py 9db4d384e117de7c ran MIT (permissive)
arXiv:2025.findings-acl.352 HKU-MedAI/CTPD/src/cmehr/dataset/mimic4_pretraining_datamodule.py 2ff3e41136330b56 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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