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

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

  1. MicroViTv2: Beyond the FLOPS for Edge Energy-Friendly Vision Transformers

    May 11, 2026Novendra Setyawan, Chi-Chia Sun, Mao-Hsiu Hsu +2Energy-Efficient MLEdge Inference

    Department of Electro-Optics, National Formosa University, Taiwan · Department of Electrical Engineering, University of Muhammadiyah Malang, Indonesia · Department of Electrical Engineering, National Taipei University, Taiwan +1

  2. Urban-ImageNet: A Large-Scale Multi-Modal Dataset and Evaluation Framework for Urban Space Perception

    May 11, 2026Yiwei Ou, Chung Ching Cheung, Jun Yang Ang +5Multimodal IRInstance Segmentation

    University of Auckland · University of Pennsylvania · Stanford University +1

  3. S2P-Net: A Spectral-Spatial Polar Network for Rotation-Invariant Object Recognition in Low-Data Regimes

    May 10, 2026Albert HeruthConvolutional Neural NetworksInvariant Representation Learning

    Unaffiliated Researcher · Heide, Schleswig-Holstein, Germany · Schleswig-Holstein

  4. Cross-Modal Semantic-Enhanced Diffusion Framework for Diabetic Retinopathy Grading

    May 10, 2026Yiqun WangDiabetic Retinopathy GradingMedical VLMs

    Beijing Jiaotong University · School of Software Engineering Beijing Jiaotong University Beijing, China

  5. Explainable Part-Based Vehicle Classifier with Spatial Awareness

    May 8, 2026Andreas Caduff, Klaus Zahn, Jonas Hofstetter +2Intelligent Transportation SystemsExplainable Image Classification

    Competence Center for Intelligent Sensors and Networks, Lucerne University of Applied Science and Art · Competence Center for Intelligent Sensors and Networks, Lucerne University of Applied Science and Art, Technikumstr. 21, Horw, 6048, Switzerland. · SICK AG +1

  6. Is Class Signal Clustered or Routed in Task-Induced Implicit Neural Representation Weight Spaces?

    May 8, 2026Xinyi Guo, Mingyi He, Haobin Ding +7Neural Representation GeometryImplicit Neural Representations

    South China Normal University · Beijing University of Chemical Technology · Tsinghua University +1

  7. ShellfishNet: A Domain-Specific Benchmark for Visual Recognition of Marine Molluscs

    May 8, 2026Ziheng Zhou, Yang Wang, Nan Wang +2Image RetrievalFine-Grained Visual Perception

    IT College, Shanghai Ocean University · Fudan University · DP Technology

  8. SAFformer:Improving Spiking Transformer via Active Predictive Filtering

    May 8, 2026Zequan Xie, Weiming Zeng, Yunhua Chen +3Spiking TransformersEfficient ViTs

    School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China · Faculty of Science, Hong Kong Baptist University, China · School of Electronic Information, Wuhan University, China

  9. Empirical Evidence for Simply Connected Decision Regions in Image Classifiers

    May 7, 2026Arjhun Swaminathan, Mete AkgünClassificationImage Classification

    Medical Data Privacy and Privacy-preserving Machine Learning (MDPPML), University of Tübingen. · Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen.

  10. When Labels Have Structure: Improving Image Classification with Hierarchy-Aware Cross-Entropy

    May 7, 2026April Chan, Davide D'Ascenzo, Sebastiano Cultrera di MontesanoHierarchical ClassificationFine-Grained Image Classification

    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA · Department of Computer Science, University of Milan, Milan, Italy · Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy +1

  11. Extremely coarse learning objectives induce human-aligned representations in AI vision models

    May 7, 2026Yash Mehta, Michael F. BonnerVisual Representation LearningFine-Grained Image Classification

    Department of Cognitive Science, Johns Hopkins University

  12. FoodCHA: Multi-Modal LLM Agent for Fine-Grained Food Analysis

    May 6, 2026Woojin Lee, Pranav Mekkoth, Ye Tian +2Hierarchical ClassificationFine-Grained Image Classification

    Department of Computer Science and Engineering University of California, San Diego (UCSD)

  13. Chaotic Contrastive Learning for Robust Texture Classification

    May 6, 2026Joao B FlorindoContrastive LearningSynthetic Data Augmentation

    Institute of Mathematics, Statistics and Scientific Computing of the University of Campinas, Rua Sergio Buarque de Holanda, 651, Campinas, 13083-859, Sao Paulo, Brazil

  14. Covariance-Aware Goodness for Scalable Forward-Forward Learning

    May 5, 2026Xiaoyi Jiang, Bashir M. Al-Hashimi, Kai XuConvolutional Neural NetworksLocal Learning

    King’s College London, United Kingdom · University of Nottingham

  15. GEM-FI: Gated Evidential Mixtures with Fisher Modulation

    May 5, 2026Marco Mustafa Mohammed, Fatemeh Daneshfar, Pietro LiòEvidential Deep LearningOOD Detection

    Department of Computer Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran

  16. Distribution-Free Pretraining of Classification Losses via Evolutionary Dynamics

    May 5, 2026Meng Xiang, Yan PeiSynthetic Data PretrainingImage Classification

    School of Computer Science and Engineering University of Aizu Aizuwakamatsu, Japan

  17. Leveraging Vision-Language Models as Weak Annotators in Active Learning

    May 1, 2026Phuong Ngoc Nguyen, Kaito Shiku, Ryoma Bise +2Vision-Language ModelsActive Learning

    Kyushu University, Japan.

  18. Hyperspherical Forward-Forward with Prototypical Representations

    Apr 30, 2026Shalini Sarode, Brian Moser, Joachim Folz +4Prototype-Based LearningEfficient Neural Network Inference

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

  19. Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

    Apr 30, 2026Gurucharan Srinivas, Joshua Niemeijer, Frank KösterNeurosymbolic LearningImage Classification

    German Aerospace Center (DLR)

  20. Self-Supervised Learning of Plant Image Representations

    Apr 30, 2026Ilyass Moummad, Kawtar Zaher, Hervé Goëau +3Data AugmentationFine-Grained Image Classification

    INRIA, LIRMM, Université de Montpellier, Montpellier, France · Institut National de l’Audiovisuel, Paris, France · AMAP, Université de Montpellier, CIRAD, INRAE, IRD, Montpellier, France

  21. Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering

    Apr 30, 2026Peifu Liu, Tingfa Xu, Jie Wang +3Soft-Label LearningHyperspectral Imaging

    Beijing Institute of Technology, Beijing 100081, China · Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401135, China · Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing 100081, China

  22. Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification

    Apr 29, 2026Ralntion Komini, Aikaterini Mandilara, Georgios Maragkopoulos +1Quantum Feature MapsLand Cover Classification

    Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece · Eulambia Advanced Technologies Ltd, Agiou Ioannou 24, Ag. Paraskevi, 15342, Greece

  23. FASH-iCNN: Making Editorial Fashion Identity Inspectable Through Multimodal CNN Probing

    Apr 29, 2026Morayo Danielle Adeyemi, Ryan A. Rossi, Franck DernoncourtExplainable Artificial IntelligenceImage Classification

    Howard University USA · Adobe Research USA

  24. Privacy-Preserving Clothing Classification using Vision Transformer for Thermal Comfort Estimation

    Apr 29, 2026Tatsuya Chuman, Yousuke Udagawa, Hitoshi KiyaPrivacy-Preserving MLImage Classification

    NTT FACILITIES, INC. Tokyo, Japan · Tokyo Metropolitan University Tokyo, Japan

  25. Quantum-Inspired Robust and Scalable SAR Object Classification

    Apr 28, 2026Maximilian Scharf, Marco Trenti, Felix Bock +5Tensor NetworksEfficient Neural Network Inference

    Tensor AI Solutions GmbH, Max-Rauth-Str. 16, Pfaffenhofen an der Roth, Germany · Hensoldt Sensors GmbH, Wörthstraße 85, Ulm, Germany · German Aerospace Center (DLR), Microwaves and Radar Institute, Oberpfaffenhofen, Germany

  26. Towards interpretable AI with quantum annealing feature selection

    Apr 28, 2026Francesco Aldo Venturelli, Emanuele Costa, Sikha O K +3Quantum AnnealingNeural Network Interpretability

    1BCN Medtech, Universitat Pompeu Fabra, Barcelona, Spain · 2Barcelona Supercomputing Center (BSC) · 3Departament de F´ısica Qu`antica i Astrof´ısica, Facultat de F´ısica, Universitat de Barcelona, E-08028 Barcelona, Spain +2

  27. Towards Robust Deep Learning-based Rumex Obtusifolius Detection from Drone Images

    Apr 28, 2026Fabian Dionys Schrag, Mehmet Ozgur Turkoglu, Konrad Schindler +1Unsupervised Domain AdaptationAgricultural Remote Sensing

    Agroscope NBA, Tänikon 1, Ettenhausen, 8356, TG, Switzerland · Agroscope Earth Observation of Agroecosystems Team, Reckenholz 191, Zurich, 8046, ZH, Switzerland · ETH Zurich, Stefano-Franscini-Platz 5, Zurich, 8093, ZH, Switzerland

  28. Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation

    Apr 28, 2026Wentao Jiang, Yuanchan Xu, Heng YuanMulti-Scale Feature FusionConvolutional Neural Networks

    Sichuan University

  29. Empirical Ablation and Ensemble Optimization of a Convolutional Neural Network for CIFAR-10 Classification

    Apr 26, 2026Naser Khatti DizabadiNeural Network OptimizationConvolutional Neural Networks

    Department of Electrical and Computer Engineering, The University of Tulsa, 800 S. Tucker Drive, Tulsa, 74104, OK, USA

  30. On-Device Vision Training, Deployment, and Inference on a Thumb-Sized Microcontroller

    Apr 24, 2026Jeremy EllisOn-Device TrainingTiny ML

    High School Robotics Educator, British Columbia, Canada