Image Classification

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Overview

Image classification studies how to assign one or more labels to an image, supporting applications from species identification and medical diagnosis to document processing and remote sensing. Common approaches include convolutional neural networks, vision transformers, and pretrained vision-language models, trained with supervised, self-supervised, transfer, or few-shot learning. Researchers also develop data augmentation, hierarchical prediction, uncertainty estimation, and efficient models for settings such as ImageNet, corruption benchmarks, and specialized domain datasets. A central challenge is that strong accuracy on standard test sets may not transfer under distribution shifts or reveal reliance on spurious cues, while improving robustness, calibration, and efficiency can involve trade-offs.

Latest papers

CardsList

391 papers29 papers in the last four weeks, down 34% on the four weeks before. 0.2% of all new papers.

  1. Rethinking Global Average Pooling: Your Classifier Is Secretly a Multi-Instance Learner

    Jun 12, 2026Aray KarjauvFeature AttributionClassification

    indigo bunting

  2. TimeLens: On-Device Artifact Recognition with Retrieval-Augmented Question Answering for the Grand Egyptian Museum

    Jun 11, 2026Rawan Hesham, Ali Ashraf, Amr Ahmed +3Real-Time Object DetectionCultural Heritage

    Faculty of Computers and AI Capital University Cairo, Egypt

  3. Emotional regulation improves deep learning-based image classification

    Jun 11, 2026Riccardo Emanuele Landi, João M. F. Rodrigues, Marta ChinniciAffective ComputingImage Classification

    Mare Group, Salerno, Italy · NOVA LINCS and Institute of Engineering (ISE), University of Algarve, Faro, Portugal · Department of Energy Technologies and Renewable Sources, ENEA Casaccia Research Center, Rome, Italy

  4. Feature extraction for plant growth estimation

    Jun 10, 2026Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. DavelAgricultural Image AnalysisImage Classification

    Faculty of Engineering, North-West University, South Africa · Centre for Artificial Intelligence Research, South Africa · National Institute for Theoretical and Computational Sciences, South Africa

  5. Advancing Wood Identification in the Philippines: Utilizing the Xylorix Platform for Efficient AI Model Development and Deployment for Five Key Species

    Jun 9, 2026Rosalie C. Mendoza, Vivian C. Daracan, Arlene D. Romano +4Tree Species ClassificationImage Classification

    College of Forestry and Natural Resources, University of the Philippines Los Banos · Agritix

  6. A Large Scale Open-Source Image and Video Dataset for Robust Wildfire Detection and Classification

    Jun 8, 2026Emadeldeen Hamdan, Yingyi Luo, B. Ugur Toreyin +4Wildfire DetectionCross-Dataset Generalization

    Department of Electrical and Computer Engineering, University of Illinois Chicago, Chicago, IL, USA · Informatics Institute, Istanbul Technical University, ˙Istanbul, Türkiye · USDA Forest Service Pacific Wildland Fire Sciences Laboratory, Washington, USA +1

  7. End-to-End Optimization of Incoherent Imaging for Classification Under Detector-Limited Readout

    Jun 8, 2026Archer Wang, Joshua Chen, Sachin Vaidya +1Computational ImagingImage Classification

    Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA · Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139 USA

  8. RAPID: Layer-Wise Redundancy-Aware Pruning and Importance-Driven Token Merging for Efficient ViT

    Jun 6, 2026Kyumin Choi, Ikbeom JangVision TransformerEfficient ViTs

    Hankuk University of Foreign Studies Seoul, South Korea

  9. Varifold Moment Invariants for Sustainable and Explainable Contour Feature Extraction

    Jun 5, 2026G. Longari, J. -C. Alvarez Paiva, A. B. TumpachInvariant Representation LearningImage Classification

  10. Rethinking Infrastructure Inspection as Image Difference Classification: A Traffic Sign Case Study

    Jun 4, 2026Ching Yau Fergus Mok, Lavindra de Silva, Varun Kumar Reja +1Image Classification

    University of Cambridge Cambridge, UK · IIT Bombay Mumbai, India

  11. Class-Specific Branch Attention for Mitigating Gradient Interference under Class Imbalance

    Jun 4, 2026Arush Singhal, Umang SoniClass-Imbalanced LearningChannel Attention

    aThapar Institute of Engineering and Technology, Patiala, India · bNetaji Subhash University of Technology, New Delhi, India

  12. Synthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training

    Jun 4, 2026Yucheng ChenBackpropagationLocal Learning

    Amplimit Toronto, ON, Canada

  13. OA-CutMix: Correcting the Label Bias of CutMix

    Jun 3, 2026Tobias Christian Nauen, Stanislav Frolov, Federico Raue +2Data AugmentationImage Classification

    RPTU University Kaiserslautern-Landau, Kaiserslautern, Germany · German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

  14. Spatially Grounded Concept Bottleneck Models via Part-Factorized Attention

    Jun 3, 2026Dhanesh RamachandramConcept Bottleneck ModelsFine-Grained Image Classification

    Vector Institute

  15. An RRAM-based Hardware Implementation of a Radial Basis Function Neuron for Edge Classifiers

    Jun 2, 2026Georgios Papandroulidakis, Shady Agwa, Themis ProdromakisCompute-in-MemoryEdge ML

    Centre for Electronics Frontiers, Institute of Micro and Nano Systems, School of Engineering, The University of Edinburgh, EH9 3BF, UK.

  16. Graph Regularized Non-negative Reduced Biquaternion Matrix Factorization for Color Image Recognition

    Jun 2, 2026Hailang Wu, Yonghe Liu, Bingxuan Yu +1Non-Negative Matrix FactorizationMatrix Factorization

    School of Mathematics and Statistics, Yunnan University, Kunming, China.

  17. UtVAA: Ultra-tiny Vision Transformer with Affix Attention for Mobile Image Classification

    Jun 2, 2026Romiyal George, Sathiyamohan Nishankar, Selvarajah Thuseethan +1Vision TransformerEdge Inference

    University of Peradeniya, Sri Lanka · Charles Darwin University, Australia

  18. Training a Predictive Coding Network on ImageNet using Equilibrium Propagation

    Jun 2, 2026Tugdual Kerjan, Rasmus Høier, Benjamin ScellierEquilibrium PropagationPredictive Coding

    Rain AI

  19. What Do Students Learn? A Feature-Level Analysis of Dark Knowledge

    Jun 2, 2026Seungu Kang, Songkuk KimRepresentation LearningSelf-Distillation

    Yonsei University, Seoul 03722, Republic of Korea

  20. ToolFG: Towards Well-Grounded Fine-Grained Image Classification

    Jun 1, 2026Yu Xue, Haoxuan Qu, Zhuoling Li +4Tool Use in VLMsMultimodal Large Language Models

    1Lancaster University · 2Peking University

  21. FACT: A Simple and Efficient Framework for Active Finetuning

    Jun 1, 2026Wenshuai Xu, You Song, Yuzhuo Cui +3Active LearningImage Classification

  22. Student Capacity Moderates Knowledge Distillation Effectiveness: A Systematic Study Across ResNet Teacher-Student Pairs on CIFAR-10

    May 29, 2026Umut Onur YasarTeacher-Student LearningFeature-Based Knowledge Distillation

  23. PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)

    May 29, 2026Mohammed Q. AlkhatibHybrid CNN-Transformer ArchitecturesComplex-Valued Neural Networks

  24. TASER: Task-Aware Stein Regularisation for Geometry-Driven Smoothness

    May 28, 2026Michał Kozyra, Gesine ReinertDistribution Shift RobustnessNeural Network Robustness

    Department of Statistics, University of Oxford, United Kingdom

  25. Low-Magnification SEM May Suffice: Interpretable Deep Learning for Multi-Scale Fracture-Cause Classification in Zirconia-Toughened Alumina

    May 28, 2026Julian Schmid, Pawel Astankow, Tom Vater +3Materials ScienceExplainable Image Classification

    CeramTec GmbH, CeramTec-Platz 1–9, 73207 Plochingen, Germany · CeramTec

  26. Do We Really Need Quantum Machine Learning?: A Multidimensional Empirical Study

    May 27, 2026Sudip Vhaduri, Ryan Gammon, Sayanton DibboQuantum Convolutional Neural NetworksQuantum Machine Learning

    Department of Computer Science, University of Alabama, AL 35487 · Clemson University

  27. A self-supervised learning approach to deep filter banks for texture recognition

    May 27, 2026Joao B. Florindo, Lucas O. Lyra, Antonio E. FabrisAutoencodersConvolutional Autoencoder

    Institute of Mathematics, Statistics and Scientific Computing of the University of Campinas, Rua Sergio Buarque de Holanda, 651, Campinas, 13083-859, Sao Paulo, Brazil · Institute of Mathematics and Statistics of the University of Sao Paulo, Rua do Matao, 1010, Sao Paulo, 05508-090, Sao Paulo, Brazil

  28. Pattern Recognition Tasks with Personalized Federated Learning

    May 27, 2026Md. Arifur Rahman, Isha Das, Mushfiqur Rahman Abir +4Image ClassificationFederated Learning

    College of Graduate and Professional Studies, Trine University, Angola, IN 46703, United States. · Network Communication and IoT Lab, Chittagong University of Engineering and Technology, Chittagong, Bangladesh. · Department of Computer Science and Engineering, American International University-Bangladesh, Dhaka, Bangladesh. +4

  29. Representation-Conditioned Diffusion Models for Guided Training Data Generation

    May 26, 2026Nithesh Chandher Karthikeyan, Jonas Unger, Gabriel EilertsenSynthetic Data AugmentationLatent Diffusion Models

    Linkoping University

  30. Explainable Comparison of Feature-Based and Deep Learning Models for TROPOMI Methane Plume Screening

    May 26, 2026Solomiia Kurchaba, Joannes D. Maasakkers, Berend J. Schuit +1Remote Sensing Image UnderstandingRemote Sensing

    SRON Space Research Organisation Netherlands Leiden, The Netherlands · GHGSat Inc. Montreal, Canada · Department of Earth Sciences, Vrije Universiteit Amsterdam Amsterdam, The Netherlands