Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

SVHN

data category: Image classification benchmarks · 0 papers in the last 7 days

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Labelled image collections used to train and compare image classifiers.

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Names searched for: SVHN, Street View House Numbers

Key findings#

  • From Nov 2023 to Oct 2026, 153 archived papers mentioned SVHN in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in May 2025 (10).
  • SVHN was mentioned in 1 paper in the last 30 days (2026-10-06 to 2026-11-04), ranking #172 of the 255 datasets mentioned.
  • By journal category: AI (1).
  • Most of them appeared in Knowledge-Based Systems (1).
  • From 2017 to 2026 (so far), SVHN was mentioned in 194 papers in the tracked journals, most of them in AI (192), statistics (1) and information systems (1).
  • 54 of them were published in 2025, against 1 in 2017.
  • Since 2023, the institutions with the most of these papers were Shanghai Jiao Tong University (11), Chinese Academy of Sciences (10) and Nanyang Technological University (10).
  • The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (35), IEEE Transactions on Neural Networks and Learning Systems (23) and Machine Learning (16).
  • The most-cited of them is “Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018), with 2,861 citations.
  • Papers use SVHN most often with CIFAR-10 / CIFAR-100 (166), ImageNet (127) and MNIST / Fashion-MNIST (121); it has 29 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
575640153

Papers per year#

2017: 1 paper2018: 1 paper2019: 6 papers2020: 5 papers2021: 7 papers2022: 7 papers2023: 20 papers2024: 59 papers2025: 54 papers2026 (so far): 34 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI11657720585433
Statistics0000000100
Information Systems0000000001
All categories11657720595434

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China86
2United Kingdom29
3United States25
4Australia24
5Singapore17
6Hong Kong16
7Germany8
8Canada7
9Spain6
10India6
Keywords with the most papers, since 2023
#KeywordPapers
1image classification19
2out-of-distribution detection19
3federated learning15
4non-IID data11
5adversarial robustness9
6adversarial training9
7deep neural network9
8generalization9
9semi-supervised learning9
10catastrophic forgetting8

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
12,86128.8Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence2018-07-23Takeru Miyato, Shin‐ichi Maeda, Masanori Koyama et al.
299830.9Vision-Language Models for Vision Tasks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence2024-02-26Jingyi Zhang, Jiaxing Huang, Sheng Jin et al.
390310.3Interpolation Consistency Training for Semi-supervised LearningNeural Networks2019-07-28Vikas Verma, Kenji Kawaguchi, Alex Lamb et al.
461318.6Autoencoders and their applications in machine learning: a surveyArtificial Intelligence Review2024-02-03Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al.
56106.8Convolutional Networks with Dense ConnectivityIEEE Transactions on Pattern Analysis and Machine Intelligence2019-05-23Gao Ming Huang, Zhuang Liu, Geoff Pleiss et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use SVHN most often with CIFAR-10 / CIFAR-100 (166), ImageNet (127) and MNIST / Fashion-MNIST (121); it has 29 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use SVHN together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
CIFAR-10 / CIFAR-100Dataset16627.3
ImageNetDataset12711.9
MNIST / Fashion-MNISTDataset12124.9
Caltech-101 / 256Dataset2740.8
Domain adaptation benchmarks (Office-31, Office-Home, VisDA…Dataset2637.7
MS COCODataset256.3
Face recognition (LFW, CelebA, VGGFace2)Dataset1915.5
Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)Dataset1918.6
PASCAL VOCDataset139.0
CityscapesDataset107.5
IMDbDataset87.4
KITTIDataset84.3
Papers mentioning SVHN in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-07CGNC: Confidence-Guided Neighbor Consensus for semi-supervised learningKnowledge-Based SystemsAhmed Abbas Jaber, Mengzi Tang, Zhishu Shen et al.Wuhan University of Technology
Cite this page

Scholar4AI. (2026). SVHN. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/svhn

@misc{scholar4ai-datasets-svhn,
  author = {{Scholar4AI}},
  title = {SVHN},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/svhn}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).