Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

huggingface/pytorch-image-models: papers linking to it

GitHub · 37,262 stars · 5,222 forks · Python · license Apache-2.0 · created 2019 · github.com/huggingface/pytorch-image-models

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Research papers in the 480 tracked journals that link to huggingface/pytorch-image-models (https://github.com/huggingface/pytorch-image-models), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

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Key findings#

  • 23 papers in the tracked journals link to the GitHub repository huggingface/pytorch-image-models in their Crossref records, the first in 2022; most of them (6) in 2025.
  • By category: AI (23); the journals with the most are International Journal of Computer Vision (9), Expert Systems with Applications (4) and Knowledge-Based Systems (3).
  • 2 of the papers build on one another: a later paper cites an earlier one that also links huggingface/pytorch-image-models.
  • Linked repositories derived from it: 1, such as rwightman/pytorch-image-models: v0.8.10dev0 Release.

By year#

2022: 1 paper2023: 6 papers2024: 6 papers2025: 6 papers2026: 4 papers
20222026
Papers linking to huggingface/pytorch-image-models by publication year
YearPapers
20221
20236
20246
20256
20264

Journals#

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Linked repositories huggingface/pytorch-image-models derives from or that derive from it
RepositoryRelationPapers
rwightman/pytorch-image-models: v0.8.10dev0 ReleaseZenodo archive of huggingface/pytorch-image-models19
Papers linking to huggingface/pytorch-image-models, most cited first
PublishedTitleJournalAuthorsCitationsLink
2023-01-12ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and BeyondInternational Journal of Computer VisionQiming Zhang, Yufei Xu, Jing Zhang et al.278cites it
2024-08-31Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedInternational Journal of Computer VisionDa-Wei Zhou, Zi-Wen Cai, Han-Jia Ye et al.176cites it
2024-04-02EATFormer: Improving Vision Transformer Inspired by Evolutionary AlgorithmInternational Journal of Computer VisionJiangning Zhang, Xiangtai Li, Yabiao Wang et al.45cites it
2022-12-08Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learningNature Machine IntelligenceJustin Engelmann, Alice McTrusty, Ian J. C. MacCormick et al.37cites it
2023-07-03RADAM: Texture recognition through randomized aggregated encoding of deep activation mapsPattern RecognitionLeonardo Felipe dos Santos Scabini, Kallil Zielinski, Lucas C. Ribas et al.36cites it
2024-06-15CA-MoEiT: Generalizable Face Anti-spoofing via Dual Cross-Attention and Semi-fixed Mixture-of-ExpertInternational Journal of Computer VisionAjian Liu33cites it
2023-05-02Improved robustness of vision transformers via prelayernorm in patch embeddingPattern RecognitionBum Jun Kim, Hyeyeon Choi, Hyeonah Jang et al.17cites it
2024-03-13Softmax-Free Linear TransformersInternational Journal of Computer VisionJiachen Lu, Junge Zhang, Xiatian Zhu et al.15cites it
2025-04-27A Closer Look at Benchmarking Self-supervised Pre-training with Image ClassificationInternational Journal of Computer VisionMarkus Marks, Manuel Knott, Neehar Kondapaneni et al.10cites it
2023-06-09What Limits the Performance of Local Self-attention?International Journal of Computer VisionJingkai Zhou, Pichao Wang, Jiasheng Tang et al.9cites it
2023-01-01Sequential Architecture-Agnostic Black-Box Attack Design and AnalysisPattern RecognitionFurkan Mumcu, Yasin Yılmaz6cites it
2023-10-06Sampling based spherical transformer for 360 degree image classificationExpert Systems with ApplicationsSungmin Cho, Raehyuk Jung, Junseok Kwon6cites it
2024-08-16Masked Channel Modeling for Bootstrapping Visual Pre-trainingInternational Journal of Computer VisionYang Liu, Xinlong Wang, Muzhi Zhu et al.6cites it
2025-02-14Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasetsMachine LearningEsla Timothy Anzaku, Haohan Wang, Ajiboye R. Babalola et al.6cites it
2026-02-04Federated vision transformer with adaptive focal loss for medical image classificationKnowledge-Based SystemsXinyuan Zhao, Yihang Wu, Ahmad Chaddad et al.2cites it
2026-02-28Adversarial threats to vision transformers: evaluating robustness beyond CNNsNeural Computing and ApplicationsAhmed Aldahdooh, Wassim Hamidouche, Olivier Déforges A2cites it
2024-12-12Classification of the lunar surface pattern by AI architectures: does AI see a rabbit in the Moon?AI & SocietyDaigo Shoji1cites it
2025-02-05Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance PerspectiveInternational Journal of Computer VisionYao Tai Zhu, Xiu Jackie Yan, Chuanlong Xie1cites it
2025-07-24MADViT: A vision transformer-based multilayer distillation framework for explainable anomaly detection in aerial imageryExpert Systems with ApplicationsManoj Kumar Balwant, S. Mishra, Rajiv Misra1cites it
2025-10-04Objectness scan for efficient vision MambaKnowledge-Based SystemsKai Zhang, Xia Yuan, Chunxia Zhao0cites it
2025-11-22Label co-occurrence guided hash for multi-label image retrievalExpert Systems with ApplicationsXi Zhang, Yongqiang Xie, Wang Xiu et al.0cites it
2026-04-25Mult-Pool Self Attention: a lightweight attention with linear complexityKnowledge-Based SystemsSeyed Mohammad Hatefi, Hossein Mahvash Mohammadi, Hamidreza Baradaran Kashani0cites it
2026-06-06Dual-Image vision–language framework with expert knowledge for automated fine-grained mint-state coin gradingExpert Systems with ApplicationsMelaku N. Getahun, Dmitry Anikin, Alexander Shmatok et al.0cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). huggingface/pytorch-image-models: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-huggingface-pytorch-image-models

@misc{scholar4ai-code-github-huggingface-pytorch-image-models,
  author = {{Scholar4AI}},
  title = {huggingface/pytorch-image-models: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-huggingface-pytorch-image-models}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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