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default_loader

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

default_loader appears in the code Syntology harvested for 66 papers, as 19 distinct code bodies found in 70 places (a place is one code body under one paper). At least one of them ran in 37 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 default_loader 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 4 of the 19 distinct code bodies named default_loader; 15 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
0ran · fixture could not drive it
4ran
15unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 70 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

66 papers shown of 66, newest first; 70 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; 8 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
Noise-Adaptive Diffusion Sampling for Inverse Problems Without Task-Specific Tuning added by Syntology 2026-04 (from id) NA-HMC/NA-HMC/datasets/imagenet_subset.py 7bf07d5f59aae36d unverified no licence file found · pointer only
FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning added by Syntology 5 Mar 2026 junkangLiu0/FedBCGD/dataset/tiny_imagenet.py f8455b2ed4982ac2 unverified no licence file found · pointer only
arXiv:2506.23516 2025-06 (from id) Seongyeol-kim/FedWSQ/datasets/tiny_imagenet.py f8455b2ed4982ac2 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/data_manager.py 2c9953e20558c977 unverified no licence file found · pointer only
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning 4 Nov 2024 niusj03/OwMatch/open_world_imagenet.py 7bf07d5f59aae36d unverified MIT (permissive)
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning 9 Oct 2024 xiaoni-61/dh-benchmark/datasets.py 9becbb1bb6878d86 ran MIT (permissive)
CVPT: Cross-Attention help Visual Prompt Tuning adapt visual task 27 Aug 2024 xlgsyzp/cvpt/dataset.py ac269a0e4b8d946e ran no licence file found · pointer only
CoCoG-2: Controllable generation of visual stimuli for understanding human concept representation 20 Jul 2024 ncclab-sustech/cocog-2/dataset.py ac269a0e4b8d946e ran no licence file found · pointer only
PSC: Posterior Sampling-Based Compression 13 Jul 2024 noamelata/AdaSense/datasets/imagenet_subset.py 7bf07d5f59aae36d unverified no licence file found · pointer only
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method 23 Jun 2024 neurai-lab/dare/datasets/domain_net.py ac269a0e4b8d946e ran MIT (permissive)
Deep Data Consistency: a Fast and Robust Diffusion Model-based Solver for Inverse Problems 17 May 2024 hanyu-chen373/deepdataconsistency/guided_diffusion/datasets/imagenet_subset.py 7bf07d5f59aae36d unverified MIT (permissive)
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation 19 Apr 2024 wx-zhang/continual-learning-on-a-diet/dataset/utils.py c58ac0545d2d6ef6 ran no licence file found · pointer only
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification 17 Apr 2024 kunzhan/infomatch/dataset/ImageNet.py 9becbb1bb6878d86 ran no licence file found · pointer only
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers 9 Apr 2024 dipamgoswami/fscil-calibration/utils/data_manager.py 2c9953e20558c977 unverified MIT (permissive)
PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition 26 Mar 2024 karl1109/scsegamba/datasets/image_folder.py ac269a0e4b8d946e ran Apache-2.0 (permissive)
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation 11 Mar 2024 TL-UESTC/UniMoS/utils/build.py ac269a0e4b8d946e ran no licence file found · pointer only
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance 27 Dec 2023 tirer-lab/ddpg/datasets/imagenet_subset.py 7bf07d5f59aae36d unverified no licence file found · pointer only
Exploiting Label Skews in Federated Learning with Model Concatenation 11 Dec 2023 sjtudyq/fedconcat/datasets.py 9becbb1bb6878d86 ran MIT (permissive)
Deep Equilibrium Diffusion Restoration with Parallel Sampling 20 Nov 2023 caojiezhang/deqir/datasets/imagenet_subset.py 7bf07d5f59aae36d unverified no licence file found · pointer only
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning 27 Oct 2023 ubc-tea/SGPT/datasets.py 9becbb1bb6878d86 ran MIT (permissive)
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing 10 Oct 2023 DavidYanAnDe/ARC/Data_process/VTAB_loader.py ac269a0e4b8d946e ran MIT (permissive)
360-Degree Panorama Generation from Few Unregistered NFoV Images 28 Aug 2023 shanemankiw/panodiff/RelativeRotation/dataset.py 7bf07d5f59aae36d unverified no licence file found · pointer only
Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning 8 Aug 2023 czt117/csrms/prepare_datas/dataloaders.py c46bb8d296728be4 unverified no licence file found · pointer only
Revisiting Distillation for Continual Learning on Visual Question Localized-Answering in Robotic Surgery 22 Jul 2023 longbai1006/cs-vqla/utils/data_manager.py 075c2cf9f6abfa28 ran MIT (permissive)
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection 3 Jun 2023 lygjwy/DOS/datasets/named_dataset_with_meta.py 4de09f91637454ff unverified MIT (permissive)
Unlimited-Size Diffusion Restoration 1 Mar 2023 wyhuai/ddnm/datasets/imagenet_subset.py 7bf07d5f59aae36d unverified MIT (permissive)
Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels 30 Jan 2023 rpmsnu/srgb-tir/data.py ac269a0e4b8d946e ran MIT (permissive)
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration 30 Jan 2023 sony/gibbsddrm/datasets/imagenet_subset.py 7bf07d5f59aae36d unverified MIT (permissive)
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model 1 Dec 2022 ipc-lab/deepjscc-diffusion/datasets/imagenet_subset.py 7bf07d5f59aae36d unverified MIT (permissive)
FedTP: Federated Learning by Transformer Personalization 3 Nov 2022 zhyczy/fedtp/datasets.py 9becbb1bb6878d86 ran MIT (permissive)
Accurate and Efficient Stereo Matching via Attention Concatenation Volume 23 Sep 2022 gangweix/fast-acvnet/datasets/MiddleburyLoader.py ac269a0e4b8d946e ran MIT (permissive)
DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments 17 Sep 2022 geniussh/dytanvo/Datasets/segmask_gt.py ac269a0e4b8d946e ran BSD-3-Clause (permissive)
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks 8 Aug 2022 yonghaoxu/txt2img-mhn/is_fid_score/is_fid_score.py ac269a0e4b8d946e ran MIT (permissive)
On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection 15 Jul 2022 guoxoug/ens-div-ood-detect/utils/data_utils.py ac269a0e4b8d946e ran BSD-3-Clause (permissive)
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs 30 Mar 2022 NVlabs/CoordGAN/dataset.py ac269a0e4b8d946e ran MIT (permissive)
AutoBalance: Optimized Loss Functions for Imbalanced Data 4 Jan 2022 ucr-optml/autobalance/dataset/iNaturalist.py ac269a0e4b8d946e ran MIT (permissive)
Toward a Visual Concept Vocabulary for GAN Latent Space 8 Oct 2021 schwettmann/visual-vocab/visualvocab/deps/netdissect/parallelfolder.py b45785074318f58d unverified MIT (permissive)
Backdoor Attacks on Self-Supervised Learning 21 May 2021 UMBCvision/SSL-Backdoor/rotnet/jgg_dataset.py 7bf07d5f59aae36d unverified MIT (permissive)
Towards Discovery and Attribution of Open-world GAN Generated Images 10 May 2021 Sharath-girish/openworld-gan/datasets.py c22099ee6d7856ba unverified MIT (permissive)
CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching 9 Apr 2021 gallenszl/MSMD-Net/datasets/MiddleburyLoader.py ac269a0e4b8d946e ran MIT (permissive)
Wasserstein Distances for Stereo Disparity Estimation 6 Jul 2020 Div99/W-Stereo-Disp/src/disp_dataloader/KITTILoader_dataset3d.py ac269a0e4b8d946e ran MIT (permissive)
Wasserstein Distances for Stereo Disparity Estimation 6 Jul 2020 Div99/W-Stereo-Disp/src/disp_dataloader/SceneFlowLoader.py 0b3ce8456d675a8c unverified MIT (permissive)
Supervised Contrastive Learning 23 Apr 2020 sidtandon2014/fw-shapley/src/shapley/embedding/custom_loader.py 7bf07d5f59aae36d unverified Apache-2.0 (permissive)
Bringing Old Photos Back to Life 20 Apr 2020 yasamin-niknam/Image-Restoration/Face_Enhancement/data_FE/image_folder.py ac269a0e4b8d946e ran MIT recorded; this copy not marked cleared · pointer only
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation 13 Apr 2020 WonderSeven/ULDA/datasets/DataSets.py f7c5285c241ce106 unverified MIT (permissive)
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation 30 Mar 2020 XingangPan/deep-generative-prior/dataset.py 7bf07d5f59aae36d unverified MIT (permissive)
Collaborative Distillation for Ultra-Resolution Universal Style Transfer 18 Mar 2020 mingsun-tse/collaborative-distillation/PytorchWCT/data_loader.py ac269a0e4b8d946e ran MIT (permissive)
Generalized Energy Based Models 10 Mar 2020 MichaelArbel/GeneralizedEBM/helpers.py 60b61672c09d4d82 unverified BSD-3-Clause (permissive)
Ternary Compression for Communication-Efficient Federated Learning 7 Mar 2020 VeritasXu/Ternary-Federated/utils/load_mnist.py 250c0467006c5b33 unverified MIT (permissive)
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification 11 Feb 2020 Kurumi233/Mutual-Channel-Loss/dataload.py ac269a0e4b8d946e ran MIT (permissive)
Hierarchical Deep Stereo Matching on High-resolution Images 13 Dec 2019 gengshan-y/high-res-stereo/dataloader/MiddleburyLoader.py ac269a0e4b8d946e ran MIT (permissive)
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume 11 Nov 2019 albert100121/360SD-Net/dataloader/RGB_Loader.py ac269a0e4b8d946e ran MIT (permissive)
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume 11 Nov 2019 albert100121/360SD-Net/dataloader/grayscale_Loader.py 069eeaeeefea7573 unverified MIT (permissive)
An α-Matte Boundary Defocus Model Based Cascaded Network for Multi-focus Image Fusion 29 Oct 2019 xytmhy/MMF-Net-alpha-Matte-Boundary-Defocus-Model-Fusion/datasets/listdataset.py b2a303cfd1a18502 unverified MIT (permissive)
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization 10 Oct 2019 chufengt/iccv19_attribute/utils/datasets.py ac269a0e4b8d946e ran Apache-2.0 (permissive)
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network 5 Jul 2019 zwx8981/DBCNN-PyTorch/BaseCNN.py 7bf07d5f59aae36d unverified MIT (permissive)
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network 5 Jul 2019 zwx8981/DBCNN-PyTorch/Koniq_10k.py 87435c3bde0423f0 unverified MIT (permissive)
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining 12 Jun 2019 rajeevyasarla/UMRL--using-Cycle-Spinning/datasets/classification.py ac269a0e4b8d946e ran MIT (permissive)
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving 14 Jun 2019 mileyan/Pseudo_Lidar_V2/src/dataloader/KITTILoader_dataset3d.py ac269a0e4b8d946e ran MIT (permissive)
Anytime Stereo Image Depth Estimation on Mobile Devices 26 Oct 2018 mamoanwar97/Anynet_modified/dataloader/KITTILoader3D.py ac269a0e4b8d946e ran MIT (permissive)
Anytime Stereo Image Depth Estimation on Mobile Devices 26 Oct 2018 mileyan/AnyNet/dataloader/KITTILoader.py 0b3ce8456d675a8c unverified MIT (permissive)
Pyramid Stereo Matching Network 23 Mar 2018 JiaRenChang/PSMNet/dataloader/KITTILoader.py 0b3ce8456d675a8c unverified MIT (permissive)
Learning to Generalize: Meta-Learning for Domain Generalization 10 Oct 2017 Pulkit-Khandelwal/mldg/data_reader.py ac269a0e4b8d946e ran Apache-2.0 (permissive)
arXiv:ijcai2024_0457 LonelyMoonDesert/FNR-FL/datasets.py 9becbb1bb6878d86 ran MIT (permissive)
arXiv:aaai_29063 sjtudyq/FedConcat/datasets.py 9becbb1bb6878d86 ran MIT (permissive)
arXiv:aaai_26216 iamwangyabin/ESN/utils/data_manager.py 2c9953e20558c977 unverified MIT (permissive)
arXiv:Mao_Cross-Rejective_Open-Set_SAR_Image_Registration_CVPR_2025_paper XDyaoshi/CroR-OSIR-main/CroR-OSIR-main-version-two/load_data_online.py 863e488e71ac12c7 unverified Apache-2.0 (permissive)
arXiv:Liu_GEN_Pushing_the_Limits_of_Softmax-Based_Out-of-Distribution_Detection_CVPR_2023_paper XixiLiu95/GEN/list_dataset.py ac269a0e4b8d946e ran Apache-2.0 (permissive)
arXiv:Gu_LoFGAN_Fusing_Local_Representations_for_Few-Shot_Image_Generation_ICCV_2021_paper edward3862/LoFGAN-pytorch/dataset.py ac269a0e4b8d946e ran MIT (permissive)
arXiv:136970483 exped1230/S2-VER/datasets/ssl_dataset.py 9becbb1bb6878d86 ran 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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