Image classification benchmarks
Labelled image collections used to train and compare image classifiers.
Key findings
- Datasets in the category “Image classification benchmarks” were mentioned in 60 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #3 of the 58 data categories mentioned.
- The most-mentioned were ImageNet (31), CIFAR-10 / CIFAR-100 (29), MNIST / Fashion-MNIST (22), Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers) (5) and SVHN (5).
- By journal category: AI (58), Finance (1) and Management (1).
- Most of them appeared in Pattern Recognition (10), Neural Networks (10) and Neural Computing and Applications (8).
Datasets
| Dataset | Papers | Last 7 days | Names searched for |
|---|---|---|---|
| ImageNet | 31 | 5 | ImageNet, ILSVRC |
| CIFAR-10 / CIFAR-100 | 29 | 1 | CIFAR, CIFAR10, CIFAR100 |
| MNIST / Fashion-MNIST | 22 | 1 | MNIST |
| Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers) | 5 | 1 | CUB-200, Caltech-UCSD Birds, Stanford Cars, Oxford Flowers, Oxford-IIIT Pet, FGVC-Aircraft |
| SVHN | 5 | 0 | SVHN, Street View House Numbers |
| Caltech-101 / 256 | 4 | 0 | Caltech-101, Caltech-256, Caltech101, Caltech256 |
| Domain adaptation benchmarks (Office-31, Office-Home, VisDA, DomainNet) | 4 | 1 | Office-31, Office-Home, OfficeHome, VisDA, DomainNet |
| Date | Title | Journal | Authors | Affiliations | Datasets mentioned |
|---|---|---|---|---|---|
| 2026-10-23 | From pixels to profits: trading arbitrage portfolios based on image representations | Financial markets and portfolio management | Niklas Paluszkiewicz | Universität Ulm | ImageNet |
| 2026-10-22 | Zero-Shot Domain Generalization via Domain Prompt Learning | International Journal of Computer Vision | Shiming Chen, Shuhuang Chen, Salman Khan et al. | Mohamed bin Zayed University of Artificial Intelligence; Huazhong University of Science and Technology; Australian National University; … | ImageNet, Domain adaptation benchmarks (Office-31, Office-Home, VisDA, DomainNet) |
| 2026-10-21 | InfoDisent: Explainability of image classification models by information disentanglement | Knowledge-Based Systems | Łukasz Struski, Dawid Rymarczyk, Jacek Tabor | ImageNet | |
| 2026-10-20 | Boosting the understanding ability of diffusion model with masked image modeling | Pattern Recognition | Jianning Pei, Yingchao Feng, Hanbo Bi et al. | Chinese Academy of Sciences; Aerospace Information Research Institute; University of Chinese Academy of Sciences | ImageNet |
| 2026-10-20 | Weighted UnLearning from Experience for Improved Spurious Correlation Robustness | Machine Learning | Jeff Mitchell, Jesus; id_orcid 0000-0002-9574-4138 Martinez-del-Rincon, Niall McLaughlin | Queen's University Belfast | ImageNet, Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers) |
| 2026-10-20 | Central description length (CDL) clustering validation index | Artificial Intelligence | Mahdi Shamsi, Soosan Beheshti | McGill University | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST |
| 2026-10-19 | KeyMorph: Learning parameter-efficient network activation for deep steganography | Pattern Recognition | Fanye Kong, Yu Zheng, Lei Chen et al. | Tsinghua University | ImageNet |
| 2026-10-17 | CorrCLIPv2: Harnessing Unlabeled Images for Open-Vocabulary Semantic Segmentation | International Journal of Computer Vision | D H Zhang, Fagui Liu, Quan Tang et al. | South China University of Technology; Peng Cheng Laboratory | ImageNet, Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers) |
| 2026-10-17 | Language modeling on tabular data: a survey of foundations, techniques and evolution | Artificial Intelligence Review | Yucheng Ruan, Xiang Lan, Jingying Ma et al. | National University of Singapore; Institute of Data Science | MNIST / Fashion-MNIST |
| 2026-10-16 | NISNet: Efficient native dense prediction via symmetric boundary-preserving coupling–decoupling | Expert Systems with Applications | Fengjun WU, Kafeng Wang, Xinai Xu et al. | Nanchang Normal University; Jiangxi Normal University; Chinese Academy of Sciences; … | ImageNet |
| 2026-10-16 | CDCLAP: Efficient distillation framework for zero-shot audio event classification | Neural Networks | Fei Chen, Hui Xue, Pengfei Fang | Southeast University | ImageNet |
| 2026-10-15 | Frequency–spatial dual-domain imperceptible watermarking for robust image datasets copyright protection | Information Processing & Management | Xiaojie Du, Yedi Chen, Kai Ma et al. | Guizhou Normal University | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST, Caltech-101 / 256 |
| 2026-10-14 | A transferable adversarial attack method via Loss Surface Guided Gradient Optimization | Knowledge-Based Systems | Chuan Ye, Xiaoqing Yang, Yunhan Li et al. | Southwest Petroleum University; Sichuan University; Huzhou College | ImageNet, CIFAR-10 / CIFAR-100 |
| 2026-10-14 | Mitigating domain shift in federated learning via intra- and inter-domain prototypes | Pattern Recognition | Huy Q. Le, Ye Lin Tun, Yu Qiao et al. | Kyung Hee University; University of Da Nang; Viện Khoa học và Công nghệ số | Domain adaptation benchmarks (Office-31, Office-Home, VisDA, DomainNet) |
| 2026-10-14 | Dynamic gain neuromodulation attenuates stability gaps during continual joint training | Neural Networks | Alejandro Rodriguez-Garcia, Anindya Ghosh, Srikanth Ramaswamy | Newcastle University | ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST |
| 2026-10-13 | Bootstrap Wasserstein alignment for stable feature attribution in low-data regimes | Knowledge-Based Systems | Mujahidul Islam, Priya Dubey | MNIST / Fashion-MNIST | |
| 2026-10-13 | Dual-prompt semantic decoupling and transfer for long-tailed recognition | Neural Networks | Xiaohua Chen, Yue Wang, Yanbiao Ma | Communication University of China; Xidian University; Beijing Academy of Artificial Intelligence; … | ImageNet, CIFAR-10 / CIFAR-100 |
| 2026-10-12 | AS-DQCNN: Angle superposition-augmented decreasing quantum convolutional neural network for image classification | Neural Networks | Yanyan Feng, Yan Li, Jie Li et al. | Central South University of Forestry and Technology; Central South University | MNIST / Fashion-MNIST |
| 2026-10-10 | Variational graph-based semi-supervised learning | Pattern Recognition | Sebastian Salwig, Till Kahlke, Jörg Lücke | Universität Innsbruck | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST |
| 2026-10-09 | Semantic-Clustered Multimodal Prompt Tuning for long-tailed visual recognition | Knowledge-Based Systems | Binlong Dong, Yuge Xu | South China University of Technology | ImageNet, CIFAR-10 / CIFAR-100 |
| 2026-10-09 | Test-time optimization for domain adaptive open vocabulary segmentation | Neural Networks | Ulindu De Silva, Didula Samaraweera, Sasini Wanigathunga et al. | University of Moratuwa; Stony Brook University; Khalifa University of Science and Technology | ImageNet, Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers) |
| 2026-10-08 | Learning transferable noise recognizers from training dynamics for robust classification | Pattern Recognition | Mengyang Li, Shu Zhou, Jue Lv et al. | Tianjin Normal University | CIFAR-10 / CIFAR-100 |
| 2026-10-08 | Rank and data adaptive low-rank adaptation for 2-bit quantization-aware fine-tuning of ViT | Pattern Recognition | Yuning Yang, Guowei Peng, Xiurui Xie et al. | University of Electronic Science and Technology of China; Southwestern University of Finance and Economics | ImageNet |
| 2026-10-07 | CGNC: Confidence-Guided Neighbor Consensus for semi-supervised learning | Knowledge-Based Systems | Ahmed Abbas Jaber, Mengzi Tang, Zhishu Shen et al. | Wuhan University of Technology | ImageNet, CIFAR-10 / CIFAR-100, SVHN |
| 2026-10-07 | When algorithms cannot be fair: constitutive and contingent discrimination and the limits of less-discriminatory alternatives | AI & Society | Alfredo Di Giorgio | University of Salento | ImageNet |
| 2026-10-05 | A dual-time-scale cooperative memory mechanism for spiking neural networks | Neural Networks | Junxiu Liu, Zhaoxin Zhang, Qiang Fu et al. | Guangxi Normal University | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST |
| 2026-10-03 | Enhancing local robustness with Hölder regularization | Neural Networks | Haiyan Li, Dazhi Zhao | Southwest Petroleum University | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST |
| 2026-10-03 | Uncertainty quantification for trustworthy deep learning: Methods and measures | Neural Networks | H. Martin Gillis, Thomas P. Trappenberg | Dalhousie University | ImageNet, CIFAR-10 / CIFAR-100, SVHN |
| 2026-10-01 | Light-weight Transformer Layers and prediction consistency loss for Source-Free unsupervised Domain Adaptation | Pattern Recognition | Yeeun Kim, Gyemin Lee | Seoul National University of Science and Technology | Domain adaptation benchmarks (Office-31, Office-Home, VisDA, DomainNet) |
| 2026-10-01 | COSMOS: continuous subspace manifold operating system learning as gauge dynamics on the Grassmannian | Neural Computing and Applications | Lucas Battú | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST | |
| 2026-10-01 | SteRGAN: An Improvised Framework based on Generative Adversarial Network for Image Steganography | Neural Computing and Applications | Yatendra Sharma, Gopa Bhaumik | National Institute of Technology Sikkim; National Institute of Technology Jamshedpur | ImageNet |
| 2026-10-01 | DFedSVRG: Decentralized Federated Learning with Stochastic Variance Reduced Gradient | Expert Systems with Applications | Jialong Huang, Jianhua Hu, Qinglun Li et al. | University of Shanghai for Science and Technology; National University of Defense Technology; Shanghai Institute of Computing Technology | ImageNet, CIFAR-10 / CIFAR-100 |
| 2026-10-01 | A Lagrangian-Inspired Force-Based Loss for Deep Metric Learning | Neural Networks | Byung Do Cheon, Jeongmin Yu, Jung-Eun Kim et al. | Yonsei University | ImageNet, CIFAR-10 / CIFAR-100, Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers) |
| 2026-10-01 | OADPC-HSSA: Observation-Aware Dynamic Privacy Control for Federated Learning with Hierarchical Shuffling and Secure Aggregation | Expert Systems with Applications | Jianli Xie, Zishan Wu, Bing Bu et al. | Lanzhou Jiaotong University; Beijing Jiaotong University | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST, SVHN |
| 2026-10-01 | Increment Vector Transformation for Class Incremental Learning | Pattern Recognition | Zihuan Qiu, Yi Xu, Fanman Meng et al. | University of Electronic Science and Technology of China | ImageNet, CIFAR-10 / CIFAR-100 |
| 2026-10-01 | Pre-trained Initialization and Memory-Enhanced Correction for Source-Free Universal Domain Adaptation | Expert Systems with Applications | Jianhui Yuan, Shuai Lü, Xinyu Zhang et al. | Jilin University; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University | Domain adaptation benchmarks (Office-31, Office-Home, VisDA, DomainNet) |
| 2026-10-01 | Privacy protection of multi-source data combined with homomorphic encryption within a federated learning framework | Neural Computing and Applications | Shuhui Wang, Xiaochen Jia | Shandong University of Art and Design; Shandong University | MNIST / Fashion-MNIST |
| 2026-10-01 | RECE Loss: A Reward-Enhanced Cross Entropy Loss Function for Learning with Noisy Labels | Neural Computing and Applications | Thi Thu Huong Nguyen, Duy Tung Nguyen, Thanh Tung Nguyen et al. | Thuyloi University; CMC University; Hanoi University of Science and Technology; … | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST |
| 2026-10-01 | RLAX: A Reinforcement Learning-Based Framework for Explaining Anomalous Data | Machine Learning | Simone Amirato, Fabrizio Angiulli, Fabio Fassetti | University of Calabria | MNIST / Fashion-MNIST |
| 2026-10-01 | FedGPA: a multi-level aggregation framework for federated learning with collaborative optimization of generalization and personalization | Applied Intelligence | Zigang Chen, Haichong Jiang, Deyang Xie et al. | Chongqing University of Posts and Telecommunications | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST, SVHN |
| 2026-10-01 | Class-based many-objective neural architecture search for deep classifiers | Neural Computing and Applications | Guy Mardiks, Adham Salih, Amiram Moshaiov | Tel Aviv University; Braude College of Engineering Karmiel | ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST, Caltech-101 / 256 |
| 2026-10-01 | Investigations on model compression techniques for convolutional neural networks under noise and hardware constraints | Neural Computing and Applications | Ambati Sai Vikas, Narravula Mukesh, Mallisetty Rathna Kumar et al. | Amrita Vishwa Vidyapeetham | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST |
| 2026-10-01 | AdaEA++: Enhanced Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability | International Journal of Computer Vision | Bin Chen, Jia-Li Yin, Bo‐Hao Chen et al. | Minjiang University; Fujian Business University; Jiangsu Provincial Key Laboratory of Network and Information Security; … | ImageNet |
| 2026-10-01 | Fix Your Downsampling ASAP! Aliasing and Sinc Artifact Free Pooling in the Fourier Domain | International Journal of Computer Vision | Julia Grabinski, Steffen Jung, Janis Keuper et al. | Technische Hochschule Mannheim; University of Mannheim; Technische Universität Darmstadt; … | ImageNet, CIFAR-10 / CIFAR-100 |
| 2026-10-01 | DPAS-Net: dynamic prototype alignment and separation network for incomplete data multi-view clustering | Applied Intelligence | Yufeng Sun, Changming Zhu | Shanghai Maritime University | Caltech-101 / 256 |
| 2026-10-01 | Collaborative encryption-based machine learning model training method and data protection software system construction | Neural Computing and Applications | Dianqing Bao, Wen Su | CIFAR-10 / CIFAR-100 | |
| 2026-10-01 | Diffusion-inspired prototypical network for few-shot fine-grained classification | Applied Intelligence | Jia Min Lim, Kian Ming Lim, Pey Yun Goh et al. | Multimedia University; University of Nottingham Ningbo China | Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers) |
| 2026-10-01 | A comprehensive survey on multimodal sentiment analysis: Approaches, challenges and open issues | International Journal of Information Management | Fatemeh Hemmatian, Arash Sabbaghi, Mohammad Karim Sohrabi | Islamic Azad University Semnan | ImageNet |
| 2026-10-01 | ANNE: adaptive neuron network expansion for 2D medical image segmentation | Applied Intelligence | Abel A. Reyes, Sidike Paheding | Michigan Technological University; Fairfield University | ImageNet |
| 2026-10-01 | On Kernel Eigen-Alignments of KRR: Reconstruction and Generalization | Machine Learning | Yang Liu, Ernest Fokoue, Richard Lange et al. | Rochester Institute of Technology | CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST |
Cite this page
Scholar4AI. (2026). Image classification benchmarks. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/datasets/image-classification-benchmarks
@misc{scholar4ai-datasets-image-classification-benchmarks,
author = {{Scholar4AI}},
title = {Image classification benchmarks},
year = {2026},
howpublished = {\url{https://scholar4ai.com/datasets/image-classification-benchmarks}},
urldate = {2026-10-26},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}